Loss Function for Ambiguous Boundaries for Deep Neural Network (DNN) for Image Segmentation

Author:

Hakumura Yuma1,Ito Taiyo1,Matsui Shiori1,Akiba Yuya1,Aoki Kimiya1,Nakashima Yuki2,Hirao Kiyoshi2,Fukushima Manabu2

Affiliation:

1. Chukyo university

2. Multi-Material Research Institute, Ceramic Microstructure Control Group, National Institute of Advanced Industrial Science and Technology (AIST)

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Reference26 articles.

1. (1) N. Yamada, Y. Takashima, and Y. Kimura: “Towards realizing “super smart society” (Society 5.0): CPS/IoT and its future”, Journal of Information Processing and Management, Vol. 60, No. 5, pp. 325-334 (2017) (in japanese)

2. 山田直史・高島洋典・木村康則:「超スマート社会(Society 5.0)実現に向けて CPS/IoTとその後」,情報管理,Vol. 60, No. 5, pp. 325-334 (2017)

3. (2) Y. Inoue and M. Kohara: “The Case Size and Thickness Trend of Capacitors and Inductors, and Those Element Technologies”, Journal of Japan Institute of Electronics Packaging, Vol. 16, No. 4, pp. 270-274 (2013) (in Japanese)

4. 井上泰史・小原将孝:「コンデンサやインダクタの小型化・薄型化動向とその要素技術」,エレクトロニクス実装学会誌,Vol. 16, No. 4, pp. 270-274 (2013)

5. (3) N. Miyata and H. Jinno: “Mechanical Properties of Ceramics 2. Strength and Fracture of Ceramics”, Journal of the Society of Materials Science, Japan, Vol. 32, No. 354, pp. 340-346 (1983) (in Japanese)

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