8000 GitHub - xgli411/HE-LightYOLO: An efficient and lightweight detection network for steel surface defects
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HE-LightYOLO

Paper: A highly efficient and lightweight YOLO for steel surface defects detection.

📂 Dataset

Google Drive Google Drive

📂 Weight

Google Drive

🏆 Result

Our proposed method achieves better performance on NEU-DET and GC10-DET.

PR result plot on NEU-DET

PR result plot on GC10-DET

Cite this article

🔗🔗Paper link:https://link.springer.com/article/10.1007/s10921-024-01084-7

Xu C, Li J, Li X. A highly efficient and lightweight detection method for steel surface defect[J]. Journal of Nondestructive Evaluation, 2024, 43(3): 71.

@article{xu2024highly, title={A Highly Efficient and Lightweight Detection Method for Steel Surface Defect}, author={Xu, Changyu and Li, Jie and Li, Xianguo}, journal={Journal of Nondestructive Evaluation}, volume={43}, number={3}, pages={71}, year={2024}, publisher={Springer} }

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An efficient and lightweight detection network for steel surface defects

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