Human parsing involves segmenting humans into semantic parts in images or videos. Deep learning methods have revolutionized this field, with attention mechanisms, scale-aware features, tree structures, and graph structures enhancing performance. Single human parsing focuses on robust part relationships, while multiple human parsing discriminates instances efficiently. Video human parsing extends these techniques to temporal data. Various models and datasets contribute to the advancement of human parsing.
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by Lu Yang,Wenh... at arxiv.org 03-15-2024
https://arxiv.org/pdf/2301.00394.pdfDeeper Inquiries