Temporal Cycle-Consistency Learning

CVPR 2019 Debidatta DwibediYusuf AytarJonathan TompsonPierre SermanetAndrew Zisserman

We introduce a self-supervised representation learning method based on the task of temporal alignment between videos. The method trains a network using temporal cycle consistency (TCC), a differentiable cycle-consistency loss that can be used to find correspondences across time in multiple videos... (read more)

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