The purpose of deep learning is to learn a representation of high dimensional and noisy data using a sequence of differentiable functions, i.e., geometric transformations, that can perhaps be used…
W. Hung, Y. Tsai, Y. Liou, Y. Lin, and M. Yang. (2018)cite arxiv:1802.07934Comment: Accepted in BMVC 2018. Code and models available at https://github.com/hfslyc/AdvSemiSeg.