There are 4 repositories under person-re-identification topic.
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
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
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification (BMVC 2019)
Awesome Cross-modality Person Re-identification
Awesome-Unsupervised-Person-Re-identification
ICCV 2023, project page of the paper "DeepChange: A Long-term Person Re-identification Benchmark"
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
Person re-identification MGN model based on tensorflow
A ros package that tracks a selected target person using YOLOv3 and DeepSORT
Video-based Person Re-identification without Bells and Whistles (CVPRw 2021)
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Awesome-Cross-Domain-Person-Re-identification
Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
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.
Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
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".
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
Multi-Tracking Multi-Camera Person Re-Identification
The deep person re-id implementation based on Caffe
PyTorch person re-identification models, scripts, pretrained weights
LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.
This repository provides the X-MARS dataset splits for image to video/tracklet evaluation.
CMLD: Contrastive mutual learning distillation for unsupervised domain adaptive person re-identification
Code for paper: "Query-based Universal Adversarial Perturbation for Person Re-Identification Attack" (PRCV2022)