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Micro-gesture Online Recognition using Learnable Query Points

5 July 2024
Pengyu Liu
Fei Wang
Kun Li
Guoliang Chen
Yanyan Wei
Shengeng Tang
Zhiliang Wu
Dan Guo
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Abstract

In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the Micro-gesture Online Recognition track in the MiGA challenge at IJCAI 2024. The Micro-gesture Online Recognition task involves identifying the category and locating the start and end times of micro-gestures in video clips. Compared to the typical Temporal Action Detection task, the Micro-gesture Online Recognition task focuses more on distinguishing between micro-gestures and pinpointing the start and end times of actions. Our solution ranks 2nd in the Micro-gesture Online Recognition track.

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