A Part Power Set Model for Scale-Free Person Retrieval
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Updated
Jun 21, 2022 - Python
A Part Power Set Model for Scale-Free Person Retrieval
Repo for BMVC2020 paper "BCaR: Beginner Classifier as Regularization Towards Generalizable Re-ID"
Beyond strong basleine for Person Re-ID. 2019
A professionally curated list of resources (paper, code, data, etc.) on 3D Skeleton Based Person Re-ID.
An implementation of the person re-identification
CUHK03 extracted images from the .mat file
Code for paper: "Query-based Universal Adversarial Perturbation for Person Re-Identification Attack" (PRCV2022)
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
PyTorch person re-identification models, scripts, pretrained weights
LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.
The deep person re-id implementation based on Caffe
Multi-Tracking Multi-Camera Person Re-Identification
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
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, 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, un…
Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
Awesome-Cross-Domain-Person-Re-identification
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