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KaiyangZhou / Deep Person ReidTorchreid: Deep learning person re-identification in PyTorch.
ifzhang / FairMOT[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
JDAI-CV / Fast ReidSOTA Re-identification Methods and Toolbox
tryolabs / NorfairLightweight Python library for adding real-time multi-object tracking to any detector.
michuanhaohao / Reid Strong BaselineBag of Tricks and A Strong Baseline for Deep Person Re-identification
Cysu / Open ReidOpen source person re-identification library in python
bismex / Awesome Person Re IdentificationAwesome Person Re-identification
NVlabs / DG Net:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:
NEU-Gou / Awesome Reid DatasetCollection of public available person re-identification datasets
damo-cv / TransReID[ICCV-2021] TransReID: Transformer-based Object Re-Identification
VisualComputingInstitute / Triplet ReidCode for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
mangye16 / ReID SurveyDeep Learning for Person Re-identification: A Survey and Outlook
arx-deidentifier / ArxARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.
huanghoujing / AlignedReID Re Production PytorchReproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.
zhunzhong07 / Person Re RankingPerson Re-ranking (CVPR 2017)
nwojke / Cosine Metric LearningDeep Cosine Metric Learning for Person Re-identification
wangguanan / Light Reid[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x
longcw / MOTDTReal-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification
huanghoujing / Person Reid Triplet Loss BaselineRank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
yxgeee / MMT[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
