A Human Pose Estimation Algorithm with Scale Invariant

Due to the existing issues in current human pose estimation algorithms, which struggle with accurately detecting small and large-sized human keypoints as well as having lower precision, this paper proposes a scale invariant convolution neural network to estimate human pose. First, resizing network i...

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Bibliographic Details
Main Authors:	SUN Ruiyang, YANG Huixin, ZHAO Lanfei
Format:	Article
Language:	Chinese
Published:	Harbin University of Science and Technology Publications 2024-08-01
Series:	Journal of Harbin University of Science and Technology
Subjects:	human pose estimation convolutional neural network scale invariance human keypoints detection non-local convolution quantisation error
Online Access:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2349
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A Human Pose Estimation Algorithm with Scale Invariant

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