market-1501

There are 11 repositories under market-1501 topic.

  • Person_reID_baseline_pytorch

    layumi/Person_reID_baseline_pytorch

    :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

    Language:Python4k77376997
  • DG-Net

    NVlabs/DG-Net

    :couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

    Language:Python1.3k3078229
  • person-reid-3d

    layumi/person-reid-3d

    TNNLS'22 :statue_of_liberty: Parameter-Efficient Person Re-identification in the 3D Space :statue_of_liberty:

    Language:Python261101946

  • SurajDonthi/Multi-Camera-Person-Re-Identification

    State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.

    Language:Python18041537

  • wangguanan/Pytorch-Person-ReID-Baseline-PCB-Beyond-Part-Models

    A strong implementation of PCB (Beyond Part Models), outperforming all existing implementations.

    Language:Python1109622

  • NVlabs/DG-Net-PP

    Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. ECCV'20 (Oral)

    Language:Python849615

  • layumi/3D-Magic-Mirror

    :dress:3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective:dress: Single-View 3D Reconstruction

    Language:Python68425

  • hubert10/MTMCT-Person-ReId

    Multi-Tracking Multi-Camera Person Re-Identification

    Language:Jupyter Notebook6110

  • ZizZu94/market-1501-classification-reid

    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 such as age, gender and clothing.

    Language:Jupyter Notebook5301

  • reshalfahsi/multi-object-tracking

    Multi-Object Tracking Using FCOS + DeepSORT

    Language:Jupyter Notebook1

  • rtharungowda/person-reid

    person re-identification using deep learning

    Language:Jupyter Notebook0100