Awesome person re-identification
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Updated
Aug 26, 2020
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Awesome person re-identification
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification
Code for ICCV2017 paper: Deeply-Learned Part-Aligned Representations for Person Re-Identification
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification (BMVC 2019)
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting
This paper "Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification" accepted to CVPR2020
papers about person reid via deep learning
Person re-identification MGN model based on tensorflow
This repository base on layumi/Person_reID_baseline_pytorch. CUHK03 dateset and DPN (dual path net) backbone network are added.
Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.
Temporal Lifting (TLift), a model-free temporal cooccurrence based score weighting method proposed in "Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting".
Implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
The deep person re-id implementation based on Caffe
This repository provides the X-MARS dataset splits for image to video/tracklet evaluation.
LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.
An implementation of the person re-identification
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
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