Single Human Parsing Based on Visual Attention and Feature Enhancement

Ma Zhi, Zhao Lei, Wei Longsheng

doi:10.20965/jaciii.2023.p0561

Single Human Parsing Based on Visual Attention and Feature Enhancement

DOI Web Site Web Site 参考文献13件

Ma Zhi

Zhejiang Engineering Research Center of Intelligent Urban Infrastructure, Hangzhou City University
Zhao Lei

School of Automation, China University of Geosciences
Wei Longsheng

Zhejiang Engineering Research Center of Intelligent Urban Infrastructure, Hangzhou City University School of Automation, China University of Geosciences

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抄録

<p>Human parsing is one of the basic tasks in the field of computer vision. It aims at assigning pixel-level semantic labels to each human body part. Single human parsing requires further associating semantic parts with each instance. Aiming at the problem that it is difficult to distinguish the body parts with similar local features, this paper proposes a single human parsing method based on the visual attention mechanism. The proposed algorithm integrates advanced semantic features, global context information, and edge information to obtain accurate results of single human parsing resolution. The proposed algorithm is validated on standard look into part (LIP) dataset, and the results prove the effectiveness of the proposed algorithm.</p>

収録刊行物

Journal of Advanced Computational Intelligence and Intelligent Informatics

Journal of Advanced Computational Intelligence and Intelligent Informatics 27 (4), 561-566, 2023-07-20

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