Memory-augmented dense predictive coding for video representation learning
The objective of this paper is self-supervised learning from video, in particular for representations for action recognition. We make the following contributions: (i) We propose a new architecture and learning framework Memory-augmented Dense Predictive Coding (MemDPC) for the task. It is trained wi...
| Автори: | , , |
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| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
Springer
2020
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