About
Contact & Profiles
A5072920385
Research Areas
- Industrial Vision Systems and Defect Detection
- Image and Object Detection Techniques
- Advanced Neural Network Applications
Jiangxi University of Science and Technology
2024
In response to the challenges posed by low detection accuracy resulting from a wide range of surface defects, intricate textures, and minute defect targets in steel surfaces, this paper introduces an innovative model called DCS-YOLOv8, which builds upon foundation YOLOv8. Firstly, Real-ESRGAN (Real-Enhanced Super-Resolution GAN) is used enhance image resolution, effectively addressing challenge identifying minuscule defects within dataset. Furthermore, DCN (Deformable Convolutions) are...
10.1145/3647649.3647656
article
EN
2024-01-19
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