Jan 13, 2023 · This paper designs an unsupervised surface anomaly detection model based on attention and atrous spatial pyramid pooling (ASPP).
Jan 13, 2023 · It is the main task of visual anomaly detection to find local regions whose saliency is inconsistent with normal appearance.
It is the main task of visual anomaly detection to find local regions whose saliency is inconsistent with normal appearance. However, existing mainstream ...
The method utilizes a squeeze-and-excitation block to assign attention to feature channels to improve the sensitivity of related favorable features, thus ...
An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP ... An unsupervised-learning-based approach for automated defect inspection on ...
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An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP. 2023 | Book chapter. DOI: 10.1007/978-3-031-20099-1_16. Contributors: Yuhui Huang ...
May 2, 2023 · In this model, ResNet is used as a feature extraction network, and the Res2Net module is added to ResNet, which extracts multi-scale features at ...
The proposed method uses squeeze‐and‐excitation block to assign the attention of feature channels to enhance the sensitivity of related features and improve the ...
An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP ... TL;DR: Wang et al. as mentioned in this paper proposed an unsupervised surface ...
“An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP.” Proceedings of the International Conference on Machine Learning for Cyber ...