Temporal Cycle-Consistency Learning

CVPR, 2019.

Cited by: 28|Bibtex|Views100
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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

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. The resulting per-frame embeddings can ...More

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