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Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction,
Bilal Kabas, Fuat Arslan, Valiyeh A. Nezhad, Saban Ozturk, Emine U. Saritas, Tolga Çukur
[Paper]
[GitHub]
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OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robot in Dynamic Environments via State Space Model,
Junming Wang, Dong Huang, Xiuxian Guan, Zekai Sun, Tianxiang Shen, Fangming Liu, Heming Cui
[Paper]
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OccRWKV: Rethinking Efficient 3D Semantic Occupancy Prediction with Linear Complexity,
Junming Wang, Wei Yin, Xiaoxiao Long, Xingyu Zhang, Zebin Xing, Xiaoyang Guo, Qian Zhang
[Paper]
[Code]
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[arXiv:2408.08583] Zhao, Gongpei, Tao Wang, Yi Jin, Congyan Lang, Yidong Li, and Haibin Ling.
“GrassNet: State Space Model Meets Graph Neural Network.” arXiv preprint arXiv:2408.08583 (2024).
[Paper]
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[arXiv:2409.05395] Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling,
Georgios Pantazopoulos, Malvina Nikandrou, Alessandro Suglia, Oliver Lemon, Arash Eshghi
[Paper]
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[arXiv:2409.02097] LinFusion: 1 GPU, 1 Minute, 16K Image,
Songhua Liu, Weihao Yu, Zhenxiong Tan, Xinchao Wang
[Paper]
[Code]
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[arXiv:2408.17081] Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training,
Zizheng Huang, Haoxing Chen, Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang
[Paper]
[Code]
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SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape Priors,
Zhiqing Zhang, Tianyong Liu, Guojia Fan, Bin Li, Qianjin Feng, Shoujun Zhou
[Paper]
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[arXiv:2408.10189] Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models,
Aviv Bick, Kevin Y. Li, Eric P. Xing, J. Zico Kolter, Albert Gu
[Paper]
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[arXiv:2408.10487] MambaEVT: Event Stream based Visual Object Tracking using State Space Model,
Xiao Wang, Chao Wang, Shiao Wang, Xixi Wang, Zhicheng Zhao, Lin Zhu, Bo Jiang,
arXiv Pre-print arXiv:2408.10487, 2024
[Paper]
[Code]
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[arXiv:2408.12245] Scalable Autoregressive Image Generation with Mamba,
Haopeng Li, Jinyue Yang, Kexin Wang, Xuerui Qiu, Yuhong Chou, Xin Li, Guoqi Li
[Paper]
[Code]
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[arXiv:2408.07889] MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking,
Simiao Lai, Chang Liu, Jiawen Zhu, Ben Kang, Yang Liu, Dong Wang, Huchuan Lu
[Paper]
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[arXiv:2408.08070] MambaMIM: Pre-training Mamba with State Space Token-interpolation,
Fenghe Tang, Bingkun Nian, Yingtai Li, Jie Yang, Liu Wei, S. Kevin Zhou
[Paper]
[Code]
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[ACM MM 2024] MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model,
Changcheng Xiao, Qiong Cao, Zhigang Luo, Long Lan
[Paper]
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[arXiv:2408.09764] Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms,
Xiao Wang, Shiao Wang, Pengpeng Shao, Bo Jiang, Lin Zhu, Yonghong Tian, arXiv Pre-print arXiv:2408.09764, 2024
[Paper]
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[arXiv:2408.09743] R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation,
Xiao Wang, Yuehang Li, Fuling Wang, Shiao Wang, Chuanfu Li, Bo Jiang, arXiv Pre-print arXiv:2408.09743, 2024
[Paper]
[Code]
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[arXiv:2408.03540] PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model,
Yunlong Huang, Junshuo Liu, Ke Xian, Robert Caiming Qiu
[Paper]
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[arXiv:2408.02922] Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network,
Xinyi Zhang, Qiqi Bao, Qinpeng Cui, Wenming Yang, Qingmin Liao
[Paper]
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[arXiv:2408.02615] LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba,
Yunxiang Fu, Chaoqi Chen, Yizhou Yu
[Paper]
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[arXiv:2408.01627] JambaTalk: Speech-Driven 3D Talking Head Generation Based on Hybrid Transformer-Mamba Language Model,
Farzaneh Jafari, Stefano Berretti, Anup Basu
[Paper]
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[arXiv:2408.01077] PhysMamba: Leveraging Dual-Stream Cross-Attention SSD for Remote Physiological Measurement,
Zhixin Yan, Yan Zhong, Wenjun Zhang, Lin Shu, Hongbin Xu, Wenxiong Kang
[Paper]
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[arXiv:2408.01037] MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection,
Xiangbo Gao, Asiegbu Miracle Kanu-Asiegbu, Xiaoxiao Du
[Paper]
[Code]
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[arXiv:2407.19274] Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration,
Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
[Paper]
[Code]
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[arXiv:2407.21773] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining, ACM Multimedia 2024,
Hongtao Wu, Yijun Yang, Huihui Xu, Weiming Wang, Jinni Zhou, Lei Zhu
[Paper]
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Empowering Snapshot Compressive Imaging: Spatial-Spectral State Space Model with Across-Scanning and Local Enhancement,
Wenzhe Tian, Haijin Zeng, Yin-Ping Zhao, Yongyong Chen, Zhen Wang, Xuelong Li
[Paper]
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MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection, Youjia Fu, Zihao Xu, Junsong Fu, Huixia Xue, Shuqiu Tan, Lei Li
[Paper]
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[arXiv:2407.19832] ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2, Wenjun Huang, Jianguo Hu
[Paper]
[Code]
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[arXiv:2407.13772] GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model, Abdelrahman Shaker, Syed Talal Wasim, Salman Khan, Juergen Gall, Fahad Shahbaz Khan
[Paper]
[Code]
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[arXiv:2407.13078] Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism, Sangyoun Lee, Juho Jung, Changdae Oh, Sunghee Yun
[Paper]
[Code]
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[ECCV 2024] VideoMamba: Spatio-Temporal Selective State Space Model, Jinyoung Park, Hee-Seon Kim, Kangwook Ko, Minbeom Kim, Changick Kim
[Paper]
[Code]
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[arXiv:2407.08083] MambaVision: A Hybrid Mamba-Transformer Vision Backbone, Ali Hatamizadeh, Jan Kautz
[Paper]
[Code]
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[arXiv:2407.03552] Vision Mamba for Classification of Breast Ultrasound Images, Ali Nasiri-Sarvi, Mahdi S. Hosseini, Hassan Rivaz
[Paper]
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[arXiv:2407.02315] VFIMamba: Video Frame Interpolation with State Space Models, Guozhen Zhang, Chunxu Liu, Yutao Cui, Xiaotong Zhao, Kai Ma, Limin Wang
[Paper]
[Code]
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[arXiv:2407.02228] MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders, Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
[Paper]
[Code]
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[arXiv:2407.02109] HRSAM: Efficiently Segment Anything in High-Resolution Images, You Huang, Wenbin Lai, Jiayi Ji, Liujuan Cao, Shengchuan Zhang, Rongrong Ji
[Paper]
[Code]
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[arXiv:2406.19369] Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model, Haobo Yuan, Xiangtai Li, Lu Qi, Tao Zhang, Ming-Hsuan Yang, Shuicheng Yan, Chen Change Loy
[Paper]
[Code]
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[arXiv:2406.19006] VideoMambaPro: A Leap Forward for Mamba in Video Understanding, Hui Lu, Albert Ali Salah, Ronald Poppe
[Paper]
[Code]
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[arXiv:2406.18950] MMR-Mamba: Multi-Contrast MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion, Jing Zou, Lanqing Liu, Qi Chen, Shujun Wang, Xiaohan Xing, Jing Qin
[Paper]
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[arXiv:2406.17815] SUM: Saliency Unification through Mamba for Visual Attention Modeling,
Alireza Hosseini, Amirhossein Kazerouni, Saeed Akhavan, Michael Brudno, Babak Taati
[Paper]
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[arXiv:2406.17442] Mamba24/8D: Enhancing Global Interaction in Point Clouds via State Space Model,
Zhuoyuan Li, Yubo Ai, Jiahao Lu, ChuXin Wang, Jiacheng Deng, Hanzhi Chang, Yanzhe Liang, Wenfei Yang, Shifeng Zhang, Tianzhu Zhang
[Paper]
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[arXiv:2406.15131] KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty,
Philipp Becker, Niklas Freymuth, Gerhard Neumann
[Paper]
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[arXiv:2406.14528] DeciMamba: Exploring the Length Extrapolation Potential of Mamba,
Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes
[Paper]
[Code]
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[arXiv:2406.12272] Slot State Space Models, Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn
[Paper]
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[arXiv:2406.11244, IJCAI24, Workshop] SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces,
Jinhyeok Choi, Heehyeon Kim, Minhyeong An, Joyce Jiyoung Whang
[Paper]
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[arXiv:2406.10828] PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery,
Libo Wang, Dongxu Li, Sijun Dong, Xiaoliang Meng, Xiaokang Zhang, Danfeng Hong
[Paper]
[Code]
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[arXiv:2406.10700] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection,
Guowen Zhang, Lue Fan, Chenhang He, Zhen Lei, Zhaoxiang Zhang, Lei Zhang
[Paper]
[Code]
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[arXiv:2406.10098] ECGMamba: Towards Efficient ECG Classification with BiSSM,
Yupeng Qiang, Xunde Dong, Xiuling Liu, Yang Yang, Yihai Fang, Jianhong Dou
[Paper]
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[arXiv:2406.09546] Q-Mamba: On First Exploration of Vision Mamba for Image Quality Assessment,
Fengbin Guan, Xin Li, Zihao Yu, Yiting Lu, Zhibo Chen
[Paper]
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[arXiv:2406.08423] State Soup: In-Context Skill Learning, Retrieval and Mixing,
Maciej Pióro, Maciej Wołczyk, Razvan Pascanu, Johannes von Oswald, João Sacramento
[Paper]
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[arXiv:2406.08234] MaIL: Improving Imitation Learning with Mamba,
Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
[Paper]
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[arXiv:2406.07887] An Empirical Study of Mamba-based Language Models, Roger Waleffe, Wonmin Byeon, Duncan Riach, Brandon Norick, Vijay Korthikanti, Tri Dao, Albert Gu, Ali Hatamizadeh, Sudhakar Singh, Deepak Narayanan, Garvit Kulshreshtha, Vartika Singh, Jared Casper, Jan Kautz, Mohammad Shoeybi, Bryan Catanzaro
[Paper]
[Code]
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[arXiv:2406.07592] MambaLRP: Explaining Selective State Space Sequence Models,
Farnoush Rezaei Jafari, Grégoire Montavon, Klaus-Robert Müller, Oliver Eberle
[Paper]
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[arXiv:2406.07537] Autoregressive Pretraining with Mamba in Vision,
Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan Yuille, Cihang Xie
[Paper]
[Code]
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[arXiv:2406.07522] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling,
Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen
[Paper]
[Code]
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[arXiv:2406.06086] RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection,
Yujie Chen, Jiangyan Yi, Jun Xue, Chenglong Wang, Xiaohui Zhang, Shunbo Dong, Siding Zeng, Jianhua Tao, Lv Zhao, Cunhang Fan
[Paper]
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[arXiv:2406.06069] PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis,
Jia-wei Chen, Yu-jie Xiong, Yong-bin Gao
[Paper]
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[arXiv:2406.05992] MHS-VM: Multi-Head Scanning in Parallel Subspaces for Vision Mamba, Zhongping Ji
[Paper]
[Code]
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Vision Mamba: Cutting-Edge Classification of Alzheimer’s Disease with 3D MRI Scans,
Muthukumar K A, Amit Gurung, Priya Ranjan
[Paper]
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[arXiv:2406.04377] Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images,
Ruiwen Ding, Kha-Dinh Luong, Erika Rodriguez, Ana Cristina Araujo Lemos da Silva, William Hsu
[Paper]
[Code]
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[arXiv:2406.04339] RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation, Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Lily Lee, Kaichen Zhou, Pengju An, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang
[Paper]
[Code]
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[arXiv:2406.04320] Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models, Ali Behrouz, Michele Santacatterina, Ramin Zabih
[Paper]
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[arXiv:2406.12463] LFMamba: Light Field Image Super-Resolution with State Space Model, Wang xia, Yao Lu, Shunzhou Wang, Ziqi Wang, Peiqi Xia, Tianfei Zhou
[Paper]
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[arXiv:2406.05835] Mamba YOLO: SSMs-Based YOLO For Object Detection, Zeyu Wang, Chen Li, Huiying Xu, Xinzhong Zhu
[Paper]
[Code]
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[arXiv:2406.08444] PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image Enhancement, Wei-Tung Lin, Yong-Xiang Lin, Jyun-Wei Chen, Kai-Lung Hua
[Paper]
[Code]
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[arXiv:2406.07050] DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification,
Jiamu Sheng, Jingyi Zhou, Jiong Wang, Peng Ye, Jiayuan Fan
[Paper]
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[arXiv:2406.07537] Autoregressive Pretraining with Mamba in Vision,
Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan Yuille, Cihang Xie
[Paper]
[Code]
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[arXiv:2406.06367] MVGamba: Unify 3D Content Generation as State Space Sequence Modeling,
Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang
[Paper]
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[arXiv:2406.02395] GrootVL: Tree Topology is All You Need in State Space Model, Yicheng Xiao, Lin Song, Shaoli Huang, Jiangshan Wang, Siyu Song, Yixiao Ge, Xiu Li, Ying Shan
[Paper]
[Code]
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[arXiv:2406.05038] Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs, Shentong Mo
[Paper]
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[arXiv:2406.03430] Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis, Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, Reza Azad, Ali Diba, Ulas Bagci, Dorit Merhof, Ilker Hacihaliloglu
[Paper]
[Github]
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[arXiv:2405.16712] Zamba: A Compact 7B SSM Hybrid Model,
Paolo Glorioso, Quentin Anthony, Yury Tokpanov, James Whittington, Jonathan Pilault, Adam Ibrahim, Beren Millidge
[Paper]
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[arXiv:2405.20881] S4Fusion: Saliency-aware Selective State Space Model for Infrared Visible Image Fusion, Haolong Ma, Hui Li, Chunyang Cheng, Gaoang Wang, Xiaoning Song, Xiaojun Wu
[Paper]
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Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection,
Junqi Chen, Xu Tan, Sylwan Rahardja, Jiawei Yang, Susanto Rahardja
[Paper]
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MSSC-BiMamba: Multimodal Sleep Stage Classification and Early Diagnosis of Sleep Disorders with Bidirectional Mamba,
Chao Zhanga, Weirong Cuia, Jingjing Guo
[Paper]
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DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark,
Haoxing Chen, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Yaohui Li, Jun Lan, Huijia Zhu, Jianfu Zhang, Weiqiang Wang, Huaxiong Li
[Paper]
[Code]
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FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining,
Dong Li, Yidi Liu, Xueyang Fu, Senyan Xu, Zheng-Jun Zha
[Paper]
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Deep Latent Variable Modeling of Physiological Signals, Khuong Vo
[Paper]
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Deep Bayesian Filter for Bayes-faithful Data Assimilation, Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda
[Paper]
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The Expressive Capacity of State Space Models: A Formal Language Perspective,
Yash Sarrof, Yana Veitsman, Michael Hahn
[Paper]
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SMR: State Memory Replay for Long Sequence Modeling,
Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou
[Paper]
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Unlocking the Secrets of Linear Complexity Sequence Model from A Unified Perspective,
Zhen Qin, Xuyang Shen, Dong Li, Weigao Sun, Stan Birchfield, Richard Hartley, Yiran Zhong
[Paper]
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Mamba4KT:An Efficient and Effective Mamba-based Knowledge Tracing Model, Yang Cao, Wei Zhang
[Paper]
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MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting, Xiuding Cai, Yaoyao Zhu, Xueyao Wang, Yu Yao
[Paper]
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Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting, Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang
[Paper]
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Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks,
Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto
[Paper]
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MambaVC: Learned Visual Compression with Selective State Spaces,
Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shutao Xia, Yaowei Wang
[Paper]
[Code]
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There is HOPE to Avoid HiPPOs for Long-memory State Space Models, Annan Yu, Michael W. Mahoney, N. Benjamin Erichson
[Paper]
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HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model, Zhenyu Pan, Yoonsung Jeong, Xiaoda Liu, Han Liu
[Paper]
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Audio Mamba: Pretrained Audio State Space Model For Audio Tagging, Jiaju Lin, Haoxuan Hu
[Paper]
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SSAMBA: SELF-SUPERVISED AUDIO REPRESENTATION LEARNING WITH MAMBA STATE SPACE MODEL, Siavash Shams, Sukru Samet Dindar, Xilin Jiang, Nima Mesgarani
[Paper]
[Code]
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Next-slot OFDM-CSI Prediction: Multi-head Self-attention or State Space Model? Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Robert W. Heath
[Paper]
[Code]
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Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks,
Yuhan Liu, Roland Tóth, Maarten Schoukens
[Paper]
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IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model;
Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Shinichiro Omachi
[arXiv]
[Code]
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[arXiv:2405.06147] State-Free Inference of State-Space Models: The Transfer Function Approach,
Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T.H. Smith, Ramin Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Atsushi Yamashita, Michael Poli
[Paper]
[Code]
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[arXiv:2405.17951] Efficient Time Series Processing for Transformers and State-Space Models through Token Merging,
Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn
[Paper]
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[arXiv:2405.19036] State Space Models are Comparable to Transformers in Estimating Functions with Dynamic Smoothness,
Naoki Nishikawa, Taiji Suzuki
[Paper]
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[arXiv:2405.18679] Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain,
Juntao Zhang, Kun Bian, Peng Cheng, Wenbo An, Jianning Liu, Jun Zhou
[Paper]
[Code]
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[arXiv:2405.18533] Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba,
Zefan Yang, Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
[Paper]
[Code]
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[arXiv:2405.18014] Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model,
Wenbing Li, Hang Zhou, Junqing Yu, Zikai Song, Wei Yang
[Paper]
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[arXiv:2405.17659] Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba,
Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
[Paper]
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[arXiv:2405.16470] Image Deraining with Frequency-Enhanced State Space Model,
Shugo Yamashita, Masaaki Ikehara
[Paper]
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[arXiv:2405.16605] Demystify Mamba in Vision: A Linear Attention Perspective,
Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang
[Paper]
[Code]
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[arXiv:2405.16105] MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space,
Jiangwei Weng, Zhiqiang Yan, Ying Tai, Jianjun Qian, Jian Yang, Jun Li
[Paper]
[Code]
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[arXiv:2405.15881] Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation,
Shentong Mo, Yapeng Tian
[Paper]
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[arXiv:2405.15925] MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation,
Chunyu Yuan, Dongfang Zhao, Sos S. Agaian
[Paper]
[Code]
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[arXiv:2405.15574] Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models,
Byung-Kwan Lee, Chae Won Kim, Beomchan Park, Yong Man Ro
[Paper]
[Code]
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[arXiv:2405.15463] PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis,
Zicheng Wang, Zhenghao Chen, Yiming Wu, Zhen Zhao, Luping Zhou, Dong Xu
[Paper]
[Code]
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[arXiv:2405.14022] I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling, Omer F. Atli, Bilal Kabas, Fuat Arslan, Mahmut Yurt, Onat Dalmaz, Tolga Çukur
[Paper]
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[arXiv:2405.14858] Mamba-R: Vision Mamba ALSO Needs Registers,
Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan Yuille, Cihang Xie
[Paper]
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[arXiv:2405.14480] Scalable Visual State Space Model with Fractal Scanning, Lv Tang, HaoKe Xiao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li
[Paper]
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[arXiv:2405.14343] Efficient Visual State Space Model for Image Deblurring, Lingshun Kong, Jiangxin Dong, Ming-Hsuan Yang, Jinshan Pan
[Paper]
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[arXiv:2405.14338] MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models,
Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Aviles-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang
[Paper]
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[arXiv:2405.14224] DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis, Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
[Paper]
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[arXiv:2405.14174] Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model, Yuheng Shi, Minjing Dong, Chang Xu
[Paper]
[Code]
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[arXiv:2405.11263] MAMCA - Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal Length,
Yezhuo Zhang, Zinan Zhou, Yichao Cao, Guangyu Li and Xuanpeng Li
[Paper]
[Code]
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[arXiv:2405.12609] Mamba in Speech: Towards an Alternative to Self-Attention, Xiangyu Zhang, Qiquan Zhang, Hexin Liu, Tianyi Xiao, Xinyuan Qian, Beena Ahmed, Eliathamby Ambikairajah, Haizhou Li, Julien Epps
[Paper]
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[arXiv:2405.11449] NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba,
Tongze Wang, Xiaohui Xie, Wenduo Wang, Chuyi Wang, Youjian Zhao, Yong Cui
[Paper]
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[arXiv:2405.12094] Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
[Paper]
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[arXiv:2405.12487] 3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification,
Yan He, Bing Tu, Bo Liu, Jun Li, Antonio Plaza
[Paper]
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[arXiv:2405.11831] SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model,
Siavash Shams, Sukru Samet Dindar, Xilin Jiang, Nima Mesgarani
[Paper]
[Code]
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[arXiv:2405.12003] Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification,
Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang, Man-Sing Wong, Huiying (Cynthia)Hou
[Paper]
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[arXiv:2405.10530] CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation,
Mushui Liu, Jun Dan, Ziqian Lu, Yunlong Yu, Yingming Li, Xi Li
[Paper]
[Code]
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RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing,
Huiling Zhou, Xianhao Wu, Hongming Chen, Xiang Chen, Xin He
[Paper]
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[arXiv:2405.07022] DTMamba : Dual Twin Mamba for Time Series Forecasting,
Zexue Wu, Yifeng Gong, Aoqian Zhang
[Paper]
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[arXiv:2405.08493] Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study,
Qinfeng Zhu, Yuan Fang, Yuanzhi Cai, Cheng Chen, Lei Fan
[Paper]
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[arXiv:2405.08419] WaterMamba: Visual State Space Model for Underwater Image Enhancement,
Meisheng Guan, Haiyong Xu, Gangyi Jiang, Mei Yu, Yeyao Chen, Ting Luo, Yang Song
[Paper]
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[arXiv:2405.07943] Hierarchical Decision Mamba,
André Correia, Luís A. Alexandre
[Paper]
[Code]
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[arXiv:2405.07777] GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images,
Xinying Wang, Zhixiong Huang, Sifan Zhang, Jiawen Zhu, Lin Feng
[Paper]
[Code]
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[arXiv:2405.07966] OverlapMamba: Novel Shift State Space Model for LiDAR-based Place Recognition,
Qiuchi Xiang, Jintao Cheng, Jiehao Luo, Jin Wu, Rui Fan, Xieyuanli Chen, Xiaoyu Tang
[Paper]
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[arXiv:2405.07992] MambaOut: Do We Really Need Mamba for Vision? Weihao Yu, Xinchao Wang
[Paper]
[Code]
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An Investigation of Incorporating Mamba for Speech Enhancement, arXiv:2405.06573,
Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao
[Paper]
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[arXiv:2405.06116] Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba,
Hongwei Ren, Yue Zhou, Jiadong Zhu, Haotian Fu, Yulong Huang, Xiaopeng Lin, Yuetong Fang, Fei Ma, Hao Yu, Bojun Cheng
[Paper]
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[arXiv:2405.04964] Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution,
Yi Xiao, Qiangqiang Yuan, Kui Jiang, Yuzeng Chen, Qiang Zhang, Chia-Wen Lin
[Paper]
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[arXiv:2405.05007] HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation,
Jiashu Xu
[Paper]
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[arXiv:2405.05027] StyleMamba : State Space Model for Efficient Text-driven Image Style Transfer,
Zijia Wang, Zhi-Song Liu
[Paper]
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VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis, arXiv:2405.05667,
Zhihan Ju, Wanting Zhou
[Paper]
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VMambaCC: A Visual State Space Model for Crowd Counting, arXiv:2405.03978,
Hao-Yuan Ma, Li Zhang, Shuai Shi
[Paper]
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[Mamba-2] Transformers are SSMs: Generalized Models and Efficient Algorithms with Structured State Space Duality, Tri Dao · Albert Gu, ICML 2024,
[Paper]
[arXiv]
[Code]
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AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation,
Viet-Thanh Nguyen, Van-Truong Pham, Thi-Thao Tran
[Paper]
[Code]
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MemoryMamba: Memory-Augmented State Space Model for Defect Recognition,
Qianning Wang, He Hu, Yucheng Zhou
[Paper]
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SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion,
Ziyun Qian, Zeyu Xiao, Zhenyi Wu, Dingkang Yang, Mingcheng Li, Shunli Wang, Shuaibing Wang, Dongliang Kou, Lihua Zhang
[Paper]
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Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement, Jiesong Bai, Yuhao Yin, Qiyuan He
[Paper]
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Matten: Video Generation with Mamba-Attention,
Yu Gao, Jiancheng Huang, Xiaopeng Sun, Zequn Jie, Yujie Zhong, Lin Ma
[Paper]
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FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space, arXiv:2405.01828,
Hui Ma, Sen Lei, Turgay Celik, Heng-Chao Li
[Paper]
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SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients,
Tushar Verma, Jyotsna Singh, Yash Bhartari, Rishi Jarwal, Suraj Singh, Shubhkarman Singh
[Paper]
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SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising, arXiv:2405.01726,
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
[Paper]
[Code]
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CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation, arXiv:2404.19394,
Weiquan Huang, Yifei Shen, Yifan Yang
[Paper]
[Code]
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Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models, arXiv:2404.18508,
Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel
[Paper]
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Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion, arXiv:2404.17858,
Yuntao Shou, Tao Meng, Fuchen Zhang, Nan Yin, Keqin Li
[Paper]
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Spectral-Spatial Mamba for Hyperspectral Image Classification, arXiv:2404.18401,
Lingbo Huang, Yushi Chen, Xin He
[Paper]
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RSCaMa: Remote Sensing Image Change Captioning with State Space Model,
Chenyang Liu, Keyan Chen, Bowen Chen, Haotian Zhang, Zhengxia Zou, Zhenwei Shi
[Paper]
[Code]
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S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification,
Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Xiuping Jia, Licheng Jiao
[Paper]
[Code]
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Mamba-FETrack: Frame-Event Tracking via State Space Model, arXiv:2404.18174, Ju Huang, Shiao Wang, Shuai Wang, Zhe Wu, Xiao Wang, Bo Jiang
[Paper]
[Code]
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Bi-Mamba4TS: Bidirectional Mamba for Time Series Forecasting, arXiv:2404.15772,
Aobo Liang, Xingguo Jiang, Yan Sun, Chang Lu
[Paper]
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ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction, arXiv:2404.15899
Zhiqi Shao, Xusheng Yao, Ze Wang, Junbin Gao
[Paper]
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Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment,
Kazi Shahriar Sanjid, Md. Tanzim Hossain, Md. Shakib Shahariar Junayed, M. Monir Uddin
[Paper]
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Sparse Reconstruction of Optical Doppler Tomography Based on State Space Model, arXiv:2404.17484,
Zhenghong Li, Jiaxiang Ren, Wensheng Cheng, Congwu Du, Yingtian Pan, Haibin Ling
[Paper]
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CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions, arXiv:2404.16302,
Haoyuan Li, Qi Hu, You Yao, Kailun Yang, Peng Chen
[Paper]
[Code]
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MambaTrack: Exploring Learning-based Motion Models in Multi-Object Tracking, arXiv:2403.10826,
Hsiang-Wei Huang, Cheng-Yen Yang, Wenhao Chai, Zhongyu Jiang, Jenq-Neng Hwang
[Paper]
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MambaUIE&SR: Unraveling the Ocean’s Secrets with Only 2.8 FLOPs, arXiv:2404.13884,
Zhihao Chen, Yiyuan Ge
[Paper]
[Code]
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Vim4Path: Self-Supervised Vision Mamba for Histopathology Images, arXiv:2404.13222,
Ali Nasiri-Sarvi, Vincent Quoc-Huy Trinh, Hassan Rivaz, Mahdi S. Hosseini
[Paper]
[Code]
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Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting, arXiv:2404.14757,
Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu
[Paper]
[Code]
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Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model, arXiv:2404.14966,
Xu Han, Yuan Tang, Zhaoxuan Wang, Xianzhi Li
[Paper]
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ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting, arXiv:2404.13257,
Zhiqi Shao, Michael G.H. Bell, Ze Wang, D. Glenn Geers, Haoning Xi, Junbin Gao
[Paper]
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The Illusion of State in State-Space Models, arXiv:2404.08819
William Merrill, Jackson Petty, Ashish Sabharwal
[Paper]
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MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model,
Kang Zeng, Hao Shi, Jiacheng Lin, Siyu Li, Jintao Cheng, Kaiwei Wang, Zhiyong Li, Kailun Yang
[Paper]
[Code]
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MambaPupil: Bidirectional Selective Recurrent model for Event-based Eye tracking, CVPR 2024 Workshop (AIS: Vision, Graphics and AI for Streaming)
Zhong Wang, Zengyu Wan, Han Han, Bohao Liao, Yuliang Wu, Wei Zhai, Yang Cao, Zheng-jun Zha
[Paper]
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CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration, arXiv:2404.11778,
Rui Deng, Tianpei Gu
[Paper]
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State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend,
Fei Cui, Jiaojiao Fang, Xiaojiang Wu, Zelong Lai, Mengke Yang, Menghan Jia, Guizhong Liu
[Paper]
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Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion,
Xinghan Wang, Zixi Kang, Yadong Mu, arXiv:2404.11375
[Paper]
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HumMUSS: Human Motion Understanding using State Space Models,
Arnab Kumar Mondal, Stefano Alletto, Denis Tome, CVPR 2024, arXiv:2404.10880
[Paper]
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HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising,
Yang Liu, Jiahua Xiao, Yu Guo, Peilin Jiang, Haiwei Yang, Fei Wang
[Paper]
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FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba,
Xinyu Xie, Yawen Cui, Chio-In Ieong, Tao Tan, Xiaozhi Zhang, Xubin Zheng, Zitong Yu
[Paper]
[Code]
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FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining,
Zou Zhen, Yu Hu, Zhao Feng
[Paper]
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A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion,
Zihan Cao, Xiao Wu, Liang-Jian Deng, Yu Zhong
[Paper]
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Fusion-Mamba for Cross-modality Object Detection, arXiv:2404.09146,
Wenhao Dong, Haodong Zhu, Shaohui Lin, Xiaoyan Luo, Yunhang Shen, Xuhui Liu, Juan Zhang, Guodong Guo, Baochang Zhang
[Paper]
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“Linear recurrent units for sequential recommendation.”
Yue, Zhenrui, et al.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining. 2024.
[Paper]
[Code]
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State-Space Modeling of Shape-constrained Functional Time Series,
Daichi Hiraki, Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa, arXiv:2404.07586
[Paper]
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HGRN2: Gated Linear RNNs with State Expansion,
Zhen Qin, Songlin Yang, Weixuan Sun, Xuyang Shen, Dong Li, Weigao Sun, Yiran Zhong, arXiv:2404.07904
[Paper]
[Code]
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MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion,
Zhe Li, Haiwei Pan, Kejia Zhang, Yuhua Wang, Fengming Yu, arXiv:2404.08406
[Paper]
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SpectralMamba: Efficient Mamba for Hyperspectral Image Classification,
Jing Yao, Danfeng Hong, Chenyu Li, Jocelyn Chanussot, arXiv:2404.08489
[Paper]
[Code]
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SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction,
Ying Chen, Jiajing Xie, Yuxiang Lin, Yuhang Song, Wenxian Yang, Rongshan Yu, arXiv:2404.08027
[Paper]
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[2024_143] FusionMamba: Efficient Image Fusion with State Space Model,
Siran Peng, Xiangyu Zhu, Haoyu Deng, Zhen Lei, Liang-Jian Deng
[Paper]
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[2024_142] DGMamba: Domain Generalization via Generalized State Space Model,
Shaocong Long, Qianyu Zhou, Xiangtai Li, Xuequan Lu, Chenhao Ying, Yuan Luo, Lizhuang Ma, Shuicheng Yan
[Paper]
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[2024_141] ViM-UNet: Vision Mamba for Biomedical Segmentation,
Anwai Archit, Constantin Pape
[Paper]
[Code]
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[2024_140] Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in Videos,
Soumyabrata Chaudhuri, Saumik Bhattacharya
[Paper]
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[2024_139] MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection,
Haoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Lei Xie
[Paper]
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[2024_138] 3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion,
Yixuan Li, Weidong Yang, Ben Fei
[Paper]
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[2024_137] RhythmMamba: Fast Remote Physiological Measurement with Arbitrary Length Videos,
Bochao Zou, Zizheng Guo, Xiaocheng Hu, Huimin Ma
[Paper]
[Code]
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[2024_136] VMambaMorph: a Visual Mamba-based Framework with Cross-Scan Module for Deformable 3D Image Registration,
Ziyang Wang, Jian-Qing Zheng, Chao Ma, Tao Guo
[Paper]
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[2024_135] 3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering,
Qingyuan Zhou, Weidong Yang, Ben Fei, Jingyi Xu, Rui Zhang, Keyi Liu, Yeqi Luo, Ying He
[Paper]
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[2024_134] Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation,
Zifu Wan, Yuhao Wang, Silong Yong, Pingping Zhang, Simon Stepputtis, Katia Sycara, Yaqi Xie
[Paper]
[Code]
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[2024_133] xT: Nested Tokenization for Larger Context in Large Images,
Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam
[Paper]
[Code]
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[2024_132] Locating and Editing Factual Associations in Mamba,
Arnab Sen Sharma, David Atkinson, David Bau
[Paper]
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[2024_131] InsectMamba: Insect Pest Classification with State Space Model,
Qianning Wang, Chenglin Wang, Zhixin Lai, Yucheng Zhou
[Paper]
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[2024_130] ChangeMamba: Remote Sensing Change Detection with Spatio-Temporal State Space Model,
Hongruixuan Chen, Jian Song, Chengxi Han, Junshi Xia, Naoto Yokoya
[Paper]
[Code]
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[2024_129] RS-Mamba for Large Remote Sensing Image Dense Prediction,
Sijie Zhao, Hao Chen, Xueliang Zhang, Pengfeng Xiao, Lei Bai, Wanli Ouyang
[Paper]
[Code]
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[2024_128] RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic Segmentation,
Xianping Ma, Xiaokang Zhang, Man-On Pun
[Paper]
[Code]
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[2024_127] SPMamba: State-space model is all you need in speech separation,
Kai Li, Guo Chen
[Paper]
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[2024_126] On the reduction of Linear Parameter-Varying State-Space models,
E. Javier Olucha, Bogoljub Terzin, Amritam Das, Roland Tóth
[Paper]
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[2024_125] Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model,
Qinfeng Zhu, Yuanzhi Cai, Yuan Fang, Yihan Yang, Cheng Chen, Lei Fan, Anh Nguyen
[Paper]
[Code]
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[2024_124] T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation,
Jing Hao, Lei He, Kuo Feng Hung
[Paper]
[Code]
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[2024_123] Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces,
Toshihiro Ota
[Paper]
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[2024_122] RankMamba, Benchmarking Mamba’s Document Ranking Performance in the Era of Transformers,
Zhichao Xu
[Paper]
[Code]
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[2024_121] SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding,
Wenrui Li, Xiaopeng Hong, Xiaopeng Fan
[Paper]
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[2024_120] HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification,
Judy X Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee Chung Liew
[Paper]
[Code]
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[2024_119] HARMamba: Efficient Wearable Sensor Human Activity Recognition Based on Bidirectional Selective SSM,
Shuangjian Li, Tao Zhu, Furong Duan, Liming Chen, Huansheng Ning, Yaping Wan
[Paper]
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[2024_118] UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation,
Renkai Wu, Yinghao Liu, Pengchen Liang, Qing Chang
[Paper]
[Code]
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[2024_117] MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection,
Ali Behrouz, Michele Santacatterina, Ramin Zabih
[Paper]
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[2024_116] Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation,
Xilin Jiang, Cong Han, Nima Mesgarani
[Paper]
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[2024_115] STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model,
Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster
[Paper]
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[2024_114] Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference,
Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang
[Paper]
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[2024_113] Music to Dance as Language Translation using Sequence Models,
André Correia, Luís A. Alexandre
[Paper]
[Code]
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[2024_112] CMViM: Contrastive Masked Vim Autoencoder for 3D Multi-modal Representation Learning for AD classification,
Guangqian Yang, Kangrui Du, Zhihan Yang, Ye Du, Yongping Zheng, Shujun Wang
[Paper]
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[2024_111] Proprioception Is All You Need: Terrain Classification for Boreal Forests,
Damien LaRocque, William Guimont-Martin, David-Alexandre Duclos, Philippe Giguère, François Pomerleau
[Paper]
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[2024_110] ReMamber: Referring Image Segmentation with Mamba Twister,
Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya Zhang, Yanfeng Wang
[Paper]
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[2024_109] Mechanistic Design and Scaling of Hybrid Architectures,
Michael Poli, Armin W Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
[Paper]
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[2024_108] Model order reduction of deep structured state-space models: A system-theoretic approach,
Marco Forgione, Manas Mejari, Dario Piga
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[2024_107] Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models,
Hanzhi Yin, Gang Cheng, Christian J. Steinmetz, Ruibin Yuan, Richard M. Stern, Roger B. Dannenberg
[Paper]
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[2024_106] Uncovering Selective State Space Model’s Capabilities in Lifelong Sequential Recommendation,
Jiyuan Yang, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, Zhaochun Ren, Mengqi Zhang, Xin Xin, Zhumin Chen, Pengjie Ren
[Paper]
[Code]
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[2024_105]
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[2024_104] Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models,
Mohammad Shahab Sepehri, Zalan Fabian, Mahdi Soltanolkotabi
[Paper]
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[2024_103] Jamba: A Hybrid Transformer-Mamba Language Model,
Opher Lieber, Barak Lenz, Hofit Bata, Gal Cohen, Jhonathan Osin, Itay Dalmedigos, Erez Safahi, Shaked Meirom, Yonatan Belinkov, Shai Shalev-Shwartz, Omri Abend, Raz Alon, Tomer Asida, Amir Bergman, Roman Glozman, Michael Gokhman, Avashalom Manevich, Nir Ratner, Noam Rozen, Erez Shwartz, Mor Zusman, Yoav Shoham
[Paper]
[Website]
[Huggingface]
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[2024_102] Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction,
Qiuhong Shen, Xuanyu Yi, Zike Wu, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang
[Paper]
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[2024_101] RSMamba: Remote Sensing Image Classification with State Space Model,
[Project]
[Paper]
[Code]
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[2024_100] Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation,
Hao Tang, Lianglun Cheng, Guoheng Huang, Zhengguang Tan, Junhao Lu, Kaihong Wu
[Paper]
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[2024_099] PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition,
Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley
[Paper]
[Code]
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[2024_098] Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion,
Kazi Shahriar Sanjid, Md. Tanzim Hossain, Md. Shakib Shahariar Junayed, Dr. Mohammad Monir Uddin
[Paper]
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[2024_097] VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting,
Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
[Paper]
[Code]
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[2024_096] SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series,
Badri N. Patro, Vijay S. Agneeswaran
[Paper]
[Code]
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[2024_095] Repeat After Me: Transformers are Better than State Space Models at Copying, Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach
[Paper]
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[2024_094]H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation,
Renkai Wu, Yinghao Liu, Pengchen Liang, Qing Chang
[Paper]
[Code]
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[2024_093]VL-Mamba: Exploring State Space Models for Multimodal Learning, Yanyuan Qiao, Zheng Yu, Longteng Guo, Sihan Chen, Zijia Zhao, Mingzhen Sun, Qi Wu, Jing Liu
[Paper]
[Project]
[Code]
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[2024_092]ProMamba: Prompt-Mamba for polyp segmentation, Jianhao Xie, Ruofan Liao, Ziang Zhang, Sida Yi, Yuesheng Zhu, Guibo Luo
[Paper]
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[2024_091]ZigMa: Zigzag Mamba Diffusion Model (ECCV 2024), Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes Fischer, Bjorn Ommer
[Paper]
[Code]
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[2024_090]On the low-shot transferability of [V]-Mamba, Diganta Misra, Jay Gala, Antonio Orvieto
[Paper]
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[2024_089]Is Mamba Effective for Time Series Forecasting? Zihan Wang, Fanheng Kong, Shi Feng, Ming Wang, Han Zhao, Daling Wang, Yifei Zhang
[Paper]
[Code]
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[2024_088]VmambaIR: Visual State Space Model for Image Restoration,
Yuan Shi, Bin Xia, Xiaoyu Jin, Xing Wang, Tianyu Zhao, Xin Xia, Xuefeng Xiao, Wenming Yang
[Paper]
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[2024_087]Understanding Robustness of Visual State Space Models for Image Classification,
Chengbin Du, Yanxi Li, Chang Xu
[Paper]
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[2024_086]Regularization-Based Efficient Continual Learning in Deep State-Space Models,
Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche
[Paper]
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[2024_085]TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting, Md Atik Ahamed, Qiang Cheng
[Paper]
[Code]
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[2024_084]EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba, Xiaohuan Pei, Tao Huang, Chang Xu
[Paper]
[Code]
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[2024_083]MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models,
Zunnan Xu, Yukang Lin, Haonan Han, Sicheng Yang, Ronghui Li, Yachao Zhang, Xiu Li
[Paper]
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[2024_082]LocalMamba: Visual State Space Model with Windowed Selective Scan,
Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu
[Paper]
[Code]
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[2024_081]VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation,
Mingya Zhang, Yue Yu, Limei Gu, Tingsheng Lin, Xianping Tao
[Paper]
[Code]
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[2024_080]Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding,
Guo Chen, Yifei Huang, Jilan Xu, Baoqi Pei, Zhe Chen, Zhiqi Li, Jiahao Wang, Kunchang Li, Tong Lu, Limin Wang
[Paper]
[Code]
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[2024_079]Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling,
Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Hellebrekers, Lerrel Pinto
[Paper]
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[2024_078]MambaStock: Selective state space model for stock prediction, Zhuangwei Shi
[Paper]
[Code]
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[2024_077]Simple linear attention language models balance the recall-throughput tradeoff,
Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré
[[Paper](https://arxiv.org/abs/2402
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