首页|Investigators at Zhejiang Gongshang University Report Findings in Intelligent Sy stems (Gitpose: Going Shallow and Deeper Using Vision Transformers for Human Pos e Estimation)
Investigators at Zhejiang Gongshang University Report Findings in Intelligent Sy stems (Gitpose: Going Shallow and Deeper Using Vision Transformers for Human Pos e Estimation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning - Inte lligent Systems is now available. Accordingto news reporting originating in Han gzhou, People’s Republic of China, by NewsRx journalists, researchstated, “In c omparison to convolutional neural networks (CNN), the newly created vision trans former(ViT) has demonstrated impressive outcomes in human pose estimation (HPE) . However, (1) there is aquadratic rise in complexity with respect to image siz e, which causes the traditional ViT to be unsuitablefor scaling, and (2) the at tention process at the transformer encoder as well as decoder also adds substantial computational costs to the detector’s overall processing time.”
HangzhouPeople’s Republic of ChinaAs iaIntelligent SystemsMachine LearningZhejiang Gongshang University
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