Generalized Deep Image to Image Regression

CVPR, 2017.

Cited by: 31|Bibtex|Views6|Links
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Abstract:

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 representation very early on using an efficien...More

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