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03/31/2023
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow
In this paper, we introduce the novel state-of-the-art Dual-attention Tr...
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03/10/2023
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection
This paper presents a novel framework, named Global-Local Correspondence...
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11/22/2022
Generalizable Industrial Visual Anomaly Detection with Self-Induction Vision Transformer
Industrial vision anomaly detection plays a critical role in the advance...
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11/18/2022
Reference-Based Autoencoder for Surface Defect Detection
Due to the extreme imbalance in the number of normal data and abnormal d...
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11/01/2022
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector
Unsupervised visual anomaly detection conveys practical significance in ...
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06/22/2022
