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...
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| Médium: | Conference item |
| Jazyk: | English |
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Springer
2020
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