An Industrial Defect Detection Network with Fine-Grained Supervision and Adaptive Contrast Enhancement
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4761-4_16
Reference19 articles.
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3. Cheng, X., Yu, J.: Retinanet with difference channel attention and adaptively spatial feature fusion for steel surface defect detection. IEEE Trans. Instrum. Meas. 70, 1–11 (2020)
4. He, K., et al.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)
5. He, Y., et al.: An end-to-end steel surface defect detection approach via fusing multiple hierarchical features. IEEE Trans. Instrum. Meas. 69(4), 1493–1504 (2019)
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1. Efficient online surface defect detection using multiple instance learning;Expert Systems with Applications;2024-10
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