1. Trainable guided attention based robust leather defect detection;Aslam;Eng. Appl. Artif. Intell.,2023
2. Triplet-graph reasoning network for few-shot metal generic surface defect segmentation;Bao;IEEE Trans. Instrum. Meas.,2021
3. Bergmann, P., Fauser, M., Sattlegger, D., Steger, C., 2019. MVTec AD–A comprehensive real-world dataset for unsupervised anomaly detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9592–9600.
4. A pixel-level segmentation convolutional neural network based on deep feature fusion for surface defect detection;Cao;IEEE Trans. Instrum. Meas.,2020
5. Rethinking atrous convolution for semantic image segmentation;Chen,2017