Context Encoders: Feature Learning by Inpainting

We present an unsupervised visual feature learning algorithm driven by context-based pixel prediction. By analogy with auto-encoders, we propose Context Encoders - a convolutional neural network trained to generate the contents of an arbitrary image region conditioned on its surroundings. In order t...

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Bibliographic Details

Published in:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 2536 - 2544
Main Authors:	Pathak, Deepak, Krahenbuhl, Philipp, Donahue, Jeff, Darrell, Trevor, Efros, Alexei A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2016
Subjects:	Computer architecture Context Convolutional codes Decoding Image reconstruction Semantics Visualization
ISSN:	1063-6919
Online Access:	Get full text
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