Puzzle-AE: Novelty Detection in Images through Solving Puzzles. (arXiv:2008.12959v5 [cs.CV] UPDATED)

Autoencoder, as an essential part of many anomaly detection methods, is
lacking flexibility on normal data in complex datasets. U-Net is proved to be
effective for this purpose but overfits on the training data if trained by just
using reconstruction error similar to other AE-based frameworks.
Puzzle-solving, as a pretext task of self-supervised learning (SSL) methods,
has earlier proved its ability in learning semantically meaningful features. We
show that training U-Nets based on this task is an effective remedy that …

ae arxiv cv detection images puzzle