Official implementation of CrossViT. https://arxiv.org/abs/2103.14899

multi-scale-features 开源项目推荐(14 个)
multi-scale-features 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 14
GitHub 共 14 个仓库,已全部展示CVPR2020,用于显著物体检测的多尺度交互网络
该项目探讨了多尺度CNN对脑机接口(BCI)系统中脑电信号分类的影响。通过比较EEGNet和MSTNN两个模型的性能,该研究展示了更丰富的时间特征提取如何增强CNN模型对脑电信号进行分类
[TNNLS 2026] SvANet: Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
[ICCV 2021] Official implementation of the paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"
Nested U-Net with two-level skip connections for speech enhancement
The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
Source Code for WeatherRemover (WeatherRemover: All-in-one Adverse Weather Removal with Multi-scale Feature Map Compression)
A lightweight multi-scale channel attention network for image super-resolution
Multi-Modal scene recognition using multi-scale encoded features (IMAVIS 2022)
Academic page for the paper "CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection" accepted at MICCAI 2026.
Official PyTorch implementation for "HyenaMed: Lightweight Skin Lesion Segmentation via Convolutional Global Context Modeling"
A novel hybrid architecture combining CNNs and Swin Transformers, to address limitations in 3D voxel reconstruction.
Neural Style Transfer with PyTorch: Multi-scale pyramid optimization and L-BFGS refinement for high-quality artistic image generation using VGG19.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 14 个项目;原始页面见 https://github.com/topics/multi-scale-features。
- 该话题在 GitHub 上共有 14 个仓库, 本站收录的是其中最热门的 14 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 14 个项目累计 1028 Star,覆盖 3 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。