In this paper, we propose a novel weakly supervised shallow network based on CAM, denoted as DLSE-Net, is proposed for detecting fabric defects. This approach ...
A novel parallel dilated attention module (PDAM) was designed and a hook-shaped feature pyramid network (HookFPN) was developed for multiscale context ...
DLSE-Net: A robust weakly supervised network for fabric defect detection ; Journal: Displays, 2021, p. 102008 ; Publisher: Elsevier BV ; Authors: Zhoufeng Liu, ...
To alleviate this issue, this paper proposes an effective weakly supervised shallow network, called DLSE-Net, with Link-SE (L-SE) module and Dilation Up-Weight ...
Jun 28, 2022 · Liu Z, Huo Z, Li C, et al. DLSE-Net: A robust weakly supervised network for fabric defect detection. Displays 2021; 68: 102008. Crossref.
Zhoufeng Liu, Zhaochen Huo, Chunlei Li, Yan Dong, Bicao Li: DLSE-Net: A robust weakly supervised network for fabric defect detection.
A novel end-to-end defect classification and segmentation framework based on weakly supervised learning of a convolutional neural network (CNN) with ...
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... fabric defect detection and generative model-based fabric defect detection. ... DLSE-Net: A robust weakly supervised network for fabric defect detection.
[4] developed an effective weakly supervised shallow network to localize the defective area of fabric with F1 score of 0.9346. Liu et al. [12] optimized VGG16 ...