The Devil is in the Decoder: Classification, Regression and GANs

Volume: 127, Issue: 11-12, Pages: 1694 - 1706
Published: Mar 14, 2019
Abstract
Many machine vision applications, such as semantic segmentation and depth prediction, require predictions for every pixel of the input image. Models for such problems usually consist of encoders which decrease spatial resolution while learning a high-dimensional representation, followed by decoders who recover the original input resolution and result in low-dimensional predictions. While encoders have been studied rigorously, relatively few...
Paper Details
Title
The Devil is in the Decoder: Classification, Regression and GANs
Published Date
Mar 14, 2019
Volume
127
Issue
11-12
Pages
1694 - 1706
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