Torchreid: Deep learning person re-identification in PyTorch.
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Updated
Jul 22, 2024 - Python
Torchreid: Deep learning person re-identification in PyTorch.
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
SOTA Re-identification Methods and Toolbox
Open source person re-identification library in python
👫 Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) 👫
Awesome Person Re-identification
Joint Detection and Identification Feature Learning for Person Search
[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
TOMM2020 Dual-Path Convolutional Image-Text Embedding 🐾 https://arxiv.org/abs/1711.05535
Domain Generalization with MixStyle (ICLR'21)
TNNLS'22 🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽
TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
Domain Guided Dropout for Person Re-identification
Awesome 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
State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
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