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Updated: May 24, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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OM-VST:一个基于优化下采样模块的视频动作识别模型,与多尺度特征融合相结合.

Xiaozhong Geng1, Cheng Chen2, Ping Yu1

  • 1Changchun Institute of Technology, Changchun, Jilin, China.

PloS one
|March 6, 2025
PubMed
概括

该OM-视频旋转变压器 (OM-VST) 模型提高了2.81%的视频分类精度,并减少了54.7%的模型参数. 这种优化的模型解决了计算机视觉方面的挑战,以实现更高效,更精确的视频内容识别.

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