An axially decomposed self-attention network for the precise segmentation of surface defects on printed circuit boards
Author:
Funder
Key Areas Research and Development Program of Guangdong Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07192-7.pdf
Reference50 articles.
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3. Buades A, Coll B, Morel J (2005) A non-local algorithm for image denoising. In: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR 2005), 20-26 June 2005, San Diego, CA, USA. IEEE Computer Society, pp 60–65, https://doi.org/10.1109/CVPR.2005.38
4. Cao Y, Xu J, Lin S, et al (2019) GCNet: Non-local networks meet squeeze-excitation networks and beyond. In: 2019 IEEE/CVF international conference on computer vision workshops, ICCV workshops 2019, Seoul, Korea (South), October 27-28, 2019. IEEE, pp 1971–1980, https://doi.org/10.1109/ICCVW.2019.00246
5. Chen H, Hu Q, Zhai B et al (2020) A robust weakly supervised learning of deep conv-nets for surface defect inspection. Neural Comput Appl 32(15):11,229-11,244. https://doi.org/10.1007/s00521-020-04819-5
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