Wojna, Z;
Ferrari, V;
Guadarrama, S;
Silberman, N;
Chen, L-C;
Fathi, A;
Uijlings, J;
(2019)
The Devil is in the Decoder: Classification, Regression and GANs.
International Journal of Computer Vision
, 127
pp. 1694-1706.
10.1007/s11263-019-01170-8.
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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 studies address the decoder side. This paper presents an extensive comparison of a variety of decoders for a variety of pixel-wise tasks ranging from classification, regression to synthesis. Our contributions are: (1) decoders matter: we observe significant variance in results between different types of decoders on various problems. (2) We introduce new residual-like connections for decoders. (3) We introduce a novel decoder: bilinear additive upsampling. (4) We explore prediction artifacts.
| Type: | Article |
|---|---|
| Title: | The Devil is in the Decoder: Classification, Regression and GANs |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s11263-019-01170-8 |
| Publisher version: | https://doi.org/10.1007/s11263-019-01170-8 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Machine Vision, Computer Vision, Neural Network Architectures, Decoders, 2D imagery, perpixel prediction, semantic segmentation, depth prediction, GANs |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10069373 |
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