2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019
DOI: 10.1109/cvpr.2019.00190
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Temporal Cycle-Consistency Learning

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Cited by 241 publications
(308 citation statements)
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“…Some papers related to cycleconsistency [50,8] introduce self-supervised methods for learning visual correspondence between images or videos from unlabeled videos. They use cycle-consistency as free supervision to learn video representations.…”
Section: Cycle-consistencymentioning
confidence: 99%
“…Some papers related to cycleconsistency [50,8] introduce self-supervised methods for learning visual correspondence between images or videos from unlabeled videos. They use cycle-consistency as free supervision to learn video representations.…”
Section: Cycle-consistencymentioning
confidence: 99%
“…Second, the property demands a bijective mapping between the elements of each sequence hence if the number of elements of the two sequences is not equal, they cannot be consistent. To address both of these problems, we adopt a differential loss function utilising a soft nearest neighbour approach as in [14] that is minimized by making two sequences more consistent with one another. For each embedding, p i ∈ P, its soft nearest neighbour q i ∈ Span(Q) is defined by Equation ( 5):…”
Section: Inter-view Self-supervisionmentioning
confidence: 99%
“…Wang et al [38] propose a backward and forward time route to locate the aim area. Dwibedi et al [10,35,43] encoded the video in an embedding space. Then, by learning the cycle consistency representation, the network can align the similar videos.…”
Section: Related Workmentioning
confidence: 99%