Effective action recognition with fully supervised and self-supervised methods
Action recognition in videos has attracted interest in computer vision and machine learning communities thanks to its applications such as surveillance and smart homes. In addition to spatial information in individual frames, videos contain temporal information across the temporal dimension. Therefo...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/152741 |
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| Institution: | Nanyang Technological University |
| Language: | English |