Generalized Deep Image to Image Regression

• Published in: arXiv.org
• Main Authors: Santhanam, Venkataraman, Morariu, Vlad I, Davis, Larry S
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 10.12.2016
• Subjects: Artificial neural networks; Neural networks; Noise reduction; Representations

We present a Deep Convolutional Neural Network architecture which serves as a generic image-to-image regressor that can be trained end-to-end without any further machinery. Our proposed architecture: the Recursively Branched Deconvolutional Network (RBDN) develops a cheap multi-context image represe...