RC-YOLOv5s: for tile surface defect detection

Author:

Hou WenqingORCID,Jing Huicheng

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference29 articles.

1. Hu, H., Li, J.F., Shen, J.M.: Detection methods for surface micro defection on small magnetic tile based on machine vision (in Chinese). Electromech. Eng. 36(02), 117–123+184 (2019)

2. Bhatt, P.M., Malhan, R.K., Rajendran, P., et al.: Image-based surface defect detection using deep learning: a review. J. Comput. Inf. Sci. Eng. 21(4), 040801 (2021)

3. Hu, B., Wang, J.: Detection of PCB surface defects with improved faster-RCNN and feature pyramid network. IEEE Access 8, 108335–108345 (2020)

4. Ren, S., He, K., Girshick, R., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. Adv. Neural Inf. Process. Syst. 28, 1 (2015)

5. Ma, N., Zhang, X., Zheng, H.T., et al.: Shufflenet v2: practical guidelines for efficient CNN architecture design. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 116–131 (2018)

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