Self-supervised learning for multi-person pose estimation and tracking in videos
Self-supervised learning in video involves learning representations without using high-cost labels, which allows us to utilise the vast amount of free unlabelled videos available. As videos are particularly rich in spatio-temporal information, the representations learnt are useful in many downstrea...
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Format: | Student Research Poster |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/170731 |
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Institution: | Nanyang Technological University |
Language: | English |
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