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- W4200590513 abstract "Technical movement analysis requires specialized domain knowledge and processing a large amount of data, and the advantages of AI in processing data can improve the efficiency of data analysis. In this paper, we propose a feature pyramid network-based temporal action detection (FPN-TAD) algorithm, which is used to solve the problem that the action proposal module has a low recall rate for small-scale temporal target action regions in the current video temporal action detection algorithm research. This paper is divided into three parts. The first part is an overview of the algorithm; the second part elaborates the network structure and the working principle of the FPN-TAD algorithm; and the third part gives the experimental results and analysis of the algorithm." @default.
- W4200590513 created "2021-12-31" @default.
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- W4200590513 date "2021-12-16" @default.
- W4200590513 modified "2023-09-26" @default.
- W4200590513 title "Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm" @default.
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- W4200590513 doi "https://doi.org/10.1155/2021/4320846" @default.
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