SOTA Re-identification Methods and Toolbox
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Updated
Jul 30, 2024 - Python
SOTA Re-identification Methods and Toolbox
Lightweight Python library for adding real-time multi-object tracking to any detector.
👫 Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) 👫
Deep Learning for Person Re-identification: A Survey and Outlook
Person Re-ranking (CVPR 2017)
[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114
Camera Style Adaptation for Person Re-identification CVPR 2018
TNNLS'22 🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽
ID-discriminative Embedding (IDE) for Person Re-identification
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
TCSVT2018 Pedestrian Alignment Network for Large-scale 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
A multi-camera vehicle detection, tracking and re-identification system
[WACV23] A strong baseline for body part-based person re-identification
A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)
NVIDIA Deepstream 6.1 Python boilerplate
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