Multi-Convolutional Channel Residual Spatial Attention U-Net for Industrial and Medical Image Segmentation
Author:
Affiliation:
1. Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, South Korea
Funder
Institute for Information and Communications Technology Promotion
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10539995.pdf?arnumber=10539995
Reference48 articles.
1. Image Segmentation Using Deep Learning: A Survey
2. ImageNet classification with deep convolutional neural networks;Krizhevsky
3. Visual Perception Enabled Industry Intelligence: State of the Art, Challenges and Prospects
4. A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence
5. Automatic surface defect segmentation for hot-rolled steel strip using depth-wise separable U-shape network
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