LENet: A Lightweight and Efficient High-Resolution Network for Human Pose Estimation

Due to the huge requirements of performing human pose estimation tasks on edge devices with limited resources, more and more researchers have turned to work on the design of lightweight human pose estimation networks. As a typical lightweight network, Lite-HRNet achieves high performance in human po...

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書誌詳細

主要な著者:	Ming Zhang, Xiandong Yu, Wenqiang Li, Xin Shu, Lei Pan, Zhongwei Shen
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2025-01-01
シリーズ:	IEEE Access
主題:	Human pose estimation inference speed recursive fusion block depth shuffle block
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10870235/
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