Unsupervised person re-identification with multi-label learning guided self-paced clustering
Authors:
- Qing LiQLQing Li
- Xiaojiang PengXPXiaojiang Peng
- Yu QiaoYQYu Qiao
- Qi HaoQHQi Hao
- 4 January 2022
- journal article
- research article
- Published by Elsevier in Pattern Recognition
- Vol. 125
Abstract
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This publication has 9 references indexed in Scilit:
- End-to-end training of CNN ensembles for person re-identificationPattern Recognition, 2020
- Unsupervised domain adaptive re-identification: Theory and practicePattern Recognition, 2020
- Deep-Person: Learning discriminative deep features for person Re-IdentificationPattern Recognition, 2020
- Pose-Invariant Embedding for Deep Person Re-IdentificationIEEE Transactions on Image Processing, 2019
- Unsupervised Person Re-identificationACM Transactions on Multimedia Computing, Communications, and Applications, 2018
- CamStyle: A Novel Data Augmentation Method for Person Re-IdentificationIEEE Transactions on Image Processing, 2018
- Person Re-Identification by Camera Correlation Aware Feature AugmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
- Click Prediction for Web Image Reranking Using Multimodal Sparse CodingIEEE Transactions on Image Processing, 2014
- Symmetry-driven accumulation of local features for human characterization and re-identificationComputer Vision and Image Understanding, 2013