Abstract:Multi-view human pose recognition has been extensively studied in computer vision due to its significant practical implications. Nonetheless, it remains a challenging task to effectively integrate distinctive view-based features and perform thorough qualitative analysis and quantitative evaluations. In this paper, based on an innovative multi-view fusion module and a novel Mutable Scaling Shortcut Connection, a pseudo 3D pose recognition neural network was meticulously crafted. The proposed network framework c… Show more
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