SOTA Re-identification Methods and Toolbox

Lightweight Python library for adding real-time multi-object tracking to any detector.

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

Deep Learning for Person Re-identification: A Survey and Outlook

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

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

Camera Style Adaptation for Person Re-identification CVPR 2018

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

[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)

[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

A multi-camera vehicle detection, tracking and re-identification system

[WACV23] A strong baseline for body part-based person re-identification

A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)

VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)

Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification

NVIDIA Deepstream 6.1 Python boilerplate

[AAAI2020] Cross-Modality Paired-Images Generation for RGB-InfraredPerson Re-Identification

[ICCV2019] RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

Tensorflow implementation of "An Improved Deep Learning Architecture for Person Re-Identification"