: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

Torchreid: Deep learning person re-identification in PyTorch.

Awesome-Unsupervised-Person-Re-identification

Official implementaion of ReFace: Improving Clothes-Changing Re-Identification With Face Features

Paper collection for cloth variation based person re-identification

A curated list of Person Re-Identification papers and BibTeX entries

[ACM MM 2022] Patch-based Knowledge Distillation for Lifelong Person Re-Identification

Official implementation of "Global-Local Context Network for Person Search" in PyTorch.

PyTorch implementation for Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification (CVPR 2022).

SOTA Re-identification Methods and Toolbox

DeepSort implementation for person tracking using PyTorch

Person Re-identification with transfer learning on CUHK01 dataset.

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

Awesome Person Re-identification

Sampling Agnostic Feature Representation for Long-Term Person Re-identification

University project for Person Re-Identification task

Gluon CV Toolkit

[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

My thesis project for person re-identification

code for our BMVC 2022 paper "Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification"

Code for AAAI 2020 paper "Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification"

Simple model to Track and Re-identify individuals in different cameras/videos.(Yolov3 & Yolov4)

[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

Awesome Cross-modality Person Re-identification

A systematic collection of various skeleton-based models (Datasets, Papers, Codes, Leaderboards).

Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

Using this repository, you can identify people in the video by data into a SQLite database, and re-identifying them whenever they appear in subsequent videos

[TIP2020] Adaptive Graph Representation Learning for Video Person Re-identification

A Part Power Set Model for Scale-Free Person Retrieval