| 期刊論文| 1. | 王憲保、李潔、姚明海、何文秀、錢沄濤(2014)。基於深度學習的太陽能電池片表面缺陷檢測方法。模式識別與人工智能，27，517-523。 延伸查詢 | | 2. | Cha, Y. J.、Choi, W. R.、Büyüköztürk, O.(2017)。Deep learning-based crack damage detection using convolutional neural networks。Computer-aided civil and infrastructure engineering，32，361-378。  | | 3. | 蘇詠靖、游原瑋、何昭慶(20180600)。結合機器視覺與深度學習之金屬圓柱表面缺陷檢測系統。科儀新知，215，46-58。 延伸查詢 | | 4. | Gibert, X.、Patel, V. M.、Chellappa, R.(2017)。Deep multitask learning for railway track inspection。IEEE transactions on intelligent transportation systems，18(1)，153-164。 | | 5. | Tao, X.、Zhang, D.、Ma, W.、Liu, X. L.、Xu, D.(2018)。Automatic metallic surface defect detection and recognition with convolutional neural networks。Applied sciences，8。 | 會議論文| 1. | Huang, Gao、Liu, Zhuang、Van der Maaten, Laurens、Weinberger, Kilian Q.(2017)。Densely connected convolutional networks。2017 IEEE Conference on Computer Vision and Pattern Recognition。 | | 2. | Long, J.、Shelhamer, E.、Darrell, T.(2015)。Fully convolutional networks for semantic segmentation。2015 IEEE Conference on Computer Vision and Pattern Recognition。 | | 3. | Giben, X.、Patel, V. M.、Chellappa, R.(2015)。Material classification and semantic Segmentation of railway track images with deep convolutional neural networks。2015 IEEE International Conference on Image Processing。 | | 4. | He, Kaiming、Zhang, Xiangyu、Ren, Shaoqing、Sun, Jian(2016)。Deep residual learning for image recognition。2016 IEEE Conference on Computer Vision and Pattern Recognition。IEEE。770-778。 | |