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Deep Learning Technique for Human Parsing: A Survey and Outlook
March 15, 2024, 4:46 a.m. | Lu Yang, Wenhe Jia, Shan Li, Qing Song
cs.CV updates on arXiv.org arxiv.org
Abstract: Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts. In the last decade, it has gained significantly increased interest in the computer vision community and has been utilized in a broad range of practical applications, from security monitoring, to social media, to visual special effects, just to name a few. Although deep learning-based human parsing solutions have made remarkable achievements, many important concepts, existing challenges, and potential research directions …
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