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CAINNFlow: Convolutional block Attention modules and Invertible Neural Networks Flow for anomaly detection and localization tasks. (arXiv:2206.01992v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
Detection of object anomalies is crucial in industrial processes, but
unsupervised anomaly detection and localization is particularly important due
to the difficulty of obtaining a large number of defective samples and the
unpredictable types of anomalies in real life. Among the existing unsupervised
anomaly detection and localization methods, the NF-based scheme has achieved
better results. However, the two subnets (complex functions) si(ui) and ti(ui)
in NF are usually multilayer perceptrons, which need to squeeze the input
visual features from 2D …
anomaly anomaly detection arxiv attention cv detection flow localization networks neural networks