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Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles. (arXiv:2207.10172v2 [cs.CV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
Video Anomaly Detection (VAD) is an important topic in computer vision.
Motivated by the recent advances in self-supervised learning, this paper
addresses VAD by solving an intuitive yet challenging pretext task, i.e.,
spatio-temporal jigsaw puzzles, which is cast as a multi-label fine-grained
classification problem. Our method exhibits several advantages over existing
works: 1) the spatio-temporal jigsaw puzzles are decoupled in terms of spatial
and temporal dimensions, responsible for capturing highly discriminative
appearance and motion features, respectively; 2) full permutations are …
anomaly anomaly detection arxiv cv detection jigsaw temporal video