Self-supervised video representation learning by uncovering spatio-temporal statistics
This paper proposes a novel pretext task to address the self-supervised video representation learning problem. Specifically, given an unlabeled video clip, we compute a series of spatio-temporal statistical summaries, such as the spatial location and dominant direction of the largest motion, the spa...
| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Journal article |
| Språk: | English |
| Publicerad: |
IEEE
2021
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