Micro-gesture Online Recognition using Learnable Query Points
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913418591600640 |
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| author | Liu, Pengyu Wang, Fei Li, Kun Chen, Guoliang Wei, Yanyan Tang, Shengeng Wu, Zhiliang Guo, Dan |
| author_facet | Liu, Pengyu Wang, Fei Li, Kun Chen, Guoliang Wei, Yanyan Tang, Shengeng Wu, Zhiliang Guo, Dan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_04490 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Micro-gesture Online Recognition using Learnable Query Points Liu, Pengyu Wang, Fei Li, Kun Chen, Guoliang Wei, Yanyan Tang, Shengeng Wu, Zhiliang Guo, Dan Computer Vision and Pattern Recognition 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. |
| title | Micro-gesture Online Recognition using Learnable Query Points |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2407.04490 |