weleen / MGH.pytorch

[ACM MM2021] MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification

Introduction

This project is developed based on FastReID, which is an ongoing ReID project.

Projects

BUC

In projects/BUC, we implement AAAI 2019 paper A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification. The original implementation is in BUC.

SpCL

In projects/SpCL, we implement NeurIPS 2020 paper Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID. The original implementation is in SpCL.

HCT

In projects/HCT, we implement CVPR 2020 paper Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification. The original implementation is in HCT

MGH

In projects/MGH, we implement ACM MM 2021 paper MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification. Please refer it's README for more details. Paper

Citation

Please cite our work:

@inproceedings{wu2021mgh,
  author    = {Yiming Wu and
               Xintian Wu and 
               Jian Tian and 
               Xi Li},
  title     = {MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification},
  booktitle = ACMMM,
  year      = 2021,
  publisher = {{ACM}}}