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Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 1963-1980
作者:  Luo, Chuanchen;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(2539Kb)  |  收藏  |  浏览/下载：207/61  |  提交时间：2023/03/20
Person re-identification  domain adaptation  cross-domain mixup  camera-aware learning  self-paced learning  
Toward few-shot domain adaptation with perturbation-invariant representation and transferable prototypes 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2022, 卷号: 16, 期号: 3, 页码: 11
作者:  Fan, Junsong;  Wang, Yuxi;  Guan, He;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(4804Kb)  |  收藏  |  浏览/下载：272/46  |  提交时间：2022/06/10
domain adaptation  semantic segmentation  
From Individual to Whole: Reducing Intra-class Variance by Feature Aggregation 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 卷号: 130, 期号: 3, 页码: 800-819
作者:  Zhang, Zhaoxiang;  Luo, Chuanchen;  Wu, Haiping;  Chen, Yuntao;  Wang, Naiyan;  Song, Chunfeng
Adobe PDF(1762Kb)  |  收藏  |  浏览/下载：260/33  |  提交时间：2022/06/06
Feature aggregation  Deep learning  Intra-class variance  Person re-identification  Video object detection  
Adversarial-Metric Learning for Audio-Visual Cross-Modal Matching 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 338-351
作者:  Zheng, Aihua;  Hu, Menglan;  Jiang, Bo;  Huang, Yan;  Yan, Yan;  Luo, Bin
收藏  |  浏览/下载：229/0  |  提交时间：2022/03/17
Visualization  Task analysis  Measurement  Speech recognition  Videos  Location awareness  Image recognition  Adversarial learning  audio-visual matching  cross-modal learning  metric learning  
Attention Guided Multiple Source and Target Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 30, 页码: 892-906
作者:  Wang, Yuxi;  Zhang, Zhaoxiang;  Hao, Wangli;  Song, Chunfeng
Adobe PDF(3460Kb)  |  收藏  |  浏览/下载：272/41  |  提交时间：2021/03/02
Semantics  Task analysis  Generators  Generative adversarial networks  Feature extraction  Visualization  Meteorology  Domain adaptation  multiple source and target domains  attention