Memory-augmented Dense Predictive Coding for Video Representation Learning

ECCV 2020 Tengda HanWeidi XieAndrew Zisserman

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... (read more)

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