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

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

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

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

[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

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

[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

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

[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared 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.

deep learning person search in PyTorch.

PyTorch code for ECCV 2020 paper: "Robust Re-Identification by Multiple Views Knowledge Distillation"

Beyond Part Models: Person Retrieval with Refined Part Pooling

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Person re-identification MGN model based on tensorflow

A New Strong and Simple Baseline Method for VI-ReID (Bridging the Gap: Multi-level Cross-modality Joint Alignment for Visible-infrared Person Re-identification)