MAF-Net:,

Dongwei Xie1, Xiaodan Zhang2, Xiang Gao3

  • 1Guangdong Engineering Polytechnic, Guangzhou, China.

PloS one
|April 9, 2025
PubMed
概括

这项研究引入了一个新的多式联接框架,用于基于3D骨架的人类活动识别,通过整合骨架和RGB数据来提高准确性. 该方法有效地捕捉了时空动态,以提高现实应用中的性能.

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