Context Encoders: Feature Learning by Inpainting

CVPR 2016 Deepak PathakPhilipp KrahenbuhlJeff DonahueTrevor DarrellAlexei A. Efros

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... (read more)

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