1 |
Ronneberger, O., Fischer, P. & Brox, T., 2015. U-net: Convolutional networks for biomedical image segmentation. Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, Munich, Germany, 234-241 October 2015.
|
2 |
Seol, D.I., 2018. Research on the influence of ocean weather on autonomous ship. Proceedings of Korean Society of Marine Environment and Safety biannual meeting, Incheon, Republic of Korea, 78-78 June 2018.
|
3 |
Baek, J.Y., Chung, B.J. & Yim, C.H., 2016. Removal of objects in digital image by double exemplar-based image inpainting. Proceedings of Korean Institute of Information Scientists and Engineers winter Conference, Pyeongchang, Republic of Korea, 1721-1723 December 2016.
|
4 |
Dankert, H. & Rosenthal, W., 2004. Ocean surface determination from X-band radar-image sequences. Journal of Geographical Research, 109(C4), pp.1-11
|
5 |
Yeh, R.A., Chen, C., Yian Lim, T., Schwing, A.G., Hasegawa-Johnson, M. & Do, M.N., 2017. Semantic image inpainting with deep generative models. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, 5485-5493 July 2017.
|
6 |
Liu, G., Reda, F. A., Shih, K. J., Wang, T. C., Tao, A. & Catanzaro, B., 2018. Image inpainting for irregular holes using partial convolutions. Proceedings of the European Conference on Computer Vision, Munich, Germany, 85-100 September 2018.
|