Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction

CVPR 2017 Richard ZhangPhillip IsolaAlexei A. Efros

We propose split-brain autoencoders, a straightforward modification of the traditional autoencoder architecture, for unsupervised representation learning. The method adds a split to the network, resulting in two disjoint sub-networks... (read more)

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