2018
Generative Scatternet Hybrid Deep Learning (G-Shdl) Network with Structural Priors for Semantic Image Segmentation
ICASSP 2018accepted
This paper proposes a generative ScatterNet hybrid deep learning (G-SHDL) network for semantic image segmentation. The proposed generative architecture is able to train rapidly from relatively small labeled datasets using the introduced structural priors. In addition, the number of filters in each l…