Awesome Person Re-identification
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Updated
Jun 18, 2024
Awesome Person Re-identification
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Deep Learning for Person Re-identification: A Survey and Outlook
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
TCSVT2018 Pedestrian Alignment Network for Large-scale 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
[WACV23] A strong baseline for body part-based person re-identification
Awesome Cross-modality Person Re-identification
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification (BMVC 2019)
Awesome-Unsupervised-Person-Re-identification
ICCV 2023, project page of the paper "DeepChange: A Long-term Person Re-identification Benchmark"
Code for ICCV2017 paper: Deeply-Learned Part-Aligned Representations for Person Re-Identification
[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
Official implementation of the paper GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features.
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)
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