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

Awesome Person Re-identification

Person Re-ranking (CVPR 2017)

[IEEE TIP] TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes

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

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

TOMM2017 A Discriminatively Learned CNN Embedding for 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

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

Awesome Person Re-Identification

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

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

Awesome Vehicle Re-identification

Awesome Cross-modality Person Re-identification

[CVPR2019, Oral] Learning Context Graph for Person Search

open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included

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

AutoTrackAnything is a universal, flexible and interactive tool for insane automatic object tracking over thousands of frames. It is developed upon XMem, Yolov8 and MobileSAM (Segment Anything), can track anything which detect Yolov8.

Demo code for visible thermal (cross-modality) person re-identification

A memory balanced and communication efficient FullyConnected layer with CrossEntropyLoss model parallel implementation in PyTorch