Self-Supervised Video-Based Action Recognition With Disturbances
Self-supervised video-based action recognition is a challenging task, which needs to extract the principal information characterizing the action from content-diversified videos over large unlabeled datasets. However, most existing methods choose to exploit the natural spatio-temporal properties of v...
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 26., Seite 2493-2507 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Schlagworte: | Journal Article |
| Online verfügbar |
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