Unsupervised adversarial domain adaptation with similarity diffusion for person re-identification
Authors:
- Geyu TangGTGeyu Tang
- Xingyu GaoXGXingyu Gao
- Zhenyu ChenZCZhenyu Chen
- Huicai ZhongHZHuicai Zhong
- 1 June 2021
- journal article
- research article
- Published by Elsevier in Neurocomputing
- Vol. 442, 337-347
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61702491)
This publication has 9 references indexed in Scilit:
- Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification2019
- Efficient Image Retrieval via Decoupling Diffusion into Online and Offline ProcessingProceedings of the AAAI Conference on Artificial Intelligence, 2019
- Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification2019
- Unsupervised Person Re-identificationACM Transactions on Multimedia Computing, Communications, and Applications, 2018
- Deep visual domain adaptation: A surveyNeurocomputing, 2018
- Mask-Guided Contrastive Attention Model for Person Re-identification2018
- Performance Measures and a Data Set for Multi-target, Multi-camera Tracking2016
- Object Detection with Discriminatively Trained Part-Based ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2009
- The Perron-Frobenius theorem: some of its applicationsIEEE Signal Processing Magazine, 2005