Chip contour detection and recognition based on deep-learning approaches

Author:

Chang Bao Rong1ORCID,Tsai Hsiu-Fen2ORCID,Chang Fu-Yang1ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National University of Kaohsiung , Taiwan, Taiwan

2. Department of Fragrance and Cosmetic Science, Kaohsiung Medical University , Taiwan, Taiwan

Funder

The Ministry of Science and Technology, Taiwan

Publisher

ACM

Reference10 articles.

1. Fast R-CNN

2. Faster R-CNN: towards real-time object detection with region proposal networks;Ren S.;Proceedings of the 28th International Conference on Neural Information Processing Systems,2015

3. K. He , G. Gkioxari , P. Dollár and R. Girshick , " Mask R-CNN," 2017 IEEE International Conference on Computer Vision (ICCV) , Venice , Italy , 2017 , pp. 2980 - 2988 . K. He, G. Gkioxari, P. Dollár and R. Girshick, "Mask R-CNN," 2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017, pp. 2980-2988.

4. A Survey of Deep Learning-Based Object Detection

5. C. Wang , H. Mark Liao , Y. Wu , P. Chen , J. Hsieh , and I. Yeh , " CSPNet: A New Backbone that can Enhance Learning Capability of CNN," 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA , USA , 2020 , pp. 1571 - 1580 . C. Wang, H. Mark Liao, Y. Wu, P. Chen, J. Hsieh, and I. Yeh, "CSPNet: A New Backbone that can Enhance Learning Capability of CNN," 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 2020, pp. 1571-1580.

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