ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection

Author:

Yang Wen1,Wu Hongjie1,Tang Chenwei1,Lv Jiancheng1

Affiliation:

1. College of Computer Science, Sichuan University,Chengdu,China

Funder

National Science Foundation of China

Publisher

IEEE

Reference36 articles.

1. A Hierarchical Extractor-Based Visual Rail Surface Inspection System

2. Learning defect classifiers for visual inspection images by neuro-evolution using weakly labelled training data

3. Weakly supervised learning for industrial optical inspection;wieler;DAGM Symp,0

4. Defects detection based on deep learning and transfer learning;ri-xian;Metallurgical and Mining Industry,2015

5. Ssd: Single shot multibox detector;liu;European Conference on Computer Vision,2016

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