Awesome Person Re-identification
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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
Reimplementation of Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Awesome Cross-modality Person Re-identification
Awesome Vehicle Re-identification
Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]
A strong baseline for body part-based person re-identification (check out our WACV23 paper)
Design and Implementation of a Multi-Target Multi-Camera Tracking Solution
Repository for 2019 CVPR AI City Challenge Track 2 from IPL@UW
A modular end-to-end tracking framework for research and development
Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020
Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (FedSTIL)
Incremental Generative Occlusion Adversarial Suppression Network for Person ReID (IEEE T-IP 2021)
Person re-identification to observe domain shift. Models trained and tested on the self domain as well as on cross domains(i.e. Models trained on Market1501 and tested on DukeMTMC)
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
[WACV'23] The official code for "Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"
Privacy & Security Lab
BoT-SORT + YOLOX implemented using only onnxruntime, Numpy and scipy, without cython_bbox and PyTorch. Fast human tracker. OSNet is not used.
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