research
∙
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...
share
research
∙
03/10/2023
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection
This paper presents a novel framework, named Global-Local Correspondence...
research
∙
11/18/2022
Reference-Based Autoencoder for Surface Defect Detection
Due to the extreme imbalance in the number of normal data and abnormal d...
research
∙
11/01/2022
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector
Unsupervised visual anomaly detection conveys practical significance in ...
research
∙
08/08/2022
Clear Memory-Augmented Auto-Encoder for Surface Defect Detection
In surface defect detection, due to the extreme imbalance in the number ...
research
∙
06/22/2022
