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UV R-CNN: Stable and Efficient Dense Human Pose Estimation. (arXiv:2211.02337v1 [cs.CV])
Nov. 7, 2022, 2:14 a.m. | Wenhe Jia, Yilin Zhou, Xuhan Zhu, Mengjie Hu, Chun Liu, Qing Song
cs.CV updates on arXiv.org arxiv.org
Dense pose estimation is a dense 3D prediction task for instance-level human
analysis, aiming to map human pixels from an RGB image to a 3D surface of the
human body. Due to a large amount of surface point regression, the training
process appears to be easy to collapse compared to other region-based human
instance analyzing tasks. By analyzing the loss formulation of the existing
dense pose estimation model, we introduce a novel point regression loss
function, named Dense Points} loss …
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