Torchreid: Deep learning person re-identification in PyTorch.

⛹️ 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

SOTA Re-identification Methods and Toolbox

Open source person re-identification library in python

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

Awesome Person Re-identification

Joint Detection and Identification Feature Learning for Person Search

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

TOMM2020 Dual-Path Convolutional Image-Text Embedding 🐾 https://arxiv.org/abs/1711.05535

Domain Generalization with MixStyle (ICLR'21)

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

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

Domain Guided Dropout for Person Re-identification

SPGAN in CVPR'18

Awesome Person Re-Identification

[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

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