most citedConstrained Adaptive Projection with Pretrained Features for Anomaly Detection

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cs.CV2023

Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection

Menglong Chen, Xingtai Gui, Shicai Fan

Unsupervised out-of-distribution (OOD) Detection aims to separate the samples falling outside the distribution of training data without label information. Among numerous branches,…

cs.CV2021★ 1 cited

Constrained Adaptive Projection with Pretrained Features for Anomaly Detection

Xingtai Gui, Di Wu, Yang Chang +1

Anomaly detection aims to separate anomalies from normal samples, and the pretrained network is promising for anomaly detection. However, adapting the pretrained features would be…