Awesome Person Re-identification
-
Updated
Jun 18, 2024
Awesome Person Re-identification
TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification
[WACV23] A strong baseline for body part-based person re-identification
Reimplementation of Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Awesome Vehicle Re-identification
Awesome Cross-modality Person Re-identification
A modular end-to-end tracking framework for research and development
Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]
Design and Implementation of a Multi-Target Multi-Camera Tracking Solution
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)
[WACV'23] The official code for "Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"
FedSTIL: Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (TCSVT'23)
Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
BoT-SORT + YOLOX implemented using only onnxruntime, Numpy and scipy, without cython_bbox and PyTorch. Fast human tracker. OSNet is not used.
Repository for 2019 CVPR AI City Challenge Track 2 from IPL@UW
A metric learning method for person re-identification
AICUP 2024 Cross-camera Multiple-object tracking
Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
Add a description, image, and links to the reidentification topic page so that developers can more easily learn about it.
To associate your repository with the reidentification topic, visit your repo's landing page and select "manage topics."