market-1501 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。
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
：夫妇：联合区分性和生成性学习用于人重新认同。CVPR ' 19（口头）：夫妇：
TNNLS'22 🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽
State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
A strong implementation of PCB (Beyond Part Models), outperforming all existing implementations.
👗 [npj AI] 3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective👗 Single-View 3D Reconstruction
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. ECCV'20 (Oral)
In this assignment, we explored the use of neural networks to solve two common computer vision tasks using the PyTorch framework. We had given a video-surveillance dataset containing images of multiple persons each of which was captured multiple times by different cameras along with a set of annotations that specify attributes of each person suc…
Multi-Tracking Multi-Camera Person Re-Identification
Person Re-ID system: ResNet-50 IBN-a + BNNeck trained on Market-1501 (Rank-1 81.80%, mAP 60.38%). FAISS gallery search, cross-dataset eval on DukeMTMC-reID, YOLOv8 video demo with persistent global IDs. Pure PyTorch, Colab T4 + Apple M1 MPS.
Multi-Object Tracking Using FCOS + DeepSORT
Cross-camera person re-identification on Market-1501: find the same person again on a different camera. A tested, typed PyTorch pipeline (ResNet-50 + BNNeck strong baseline, k-reciprocal re-ranking, Grad-CAM, Gradio demo) reaching 84.8 mAP / 93.9 Rank-1, and 93.7 mAP / 95.0 Rank-1 re-ranked.
person re-identification using deep learning