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Training and evaluating self-supervised deep neural networks

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Self-supervision

Training and evaluating self-supervised deep neural networks.

Models

These models were all trained entirely without labeled data using colorization as a proxy task:

The models are saved in Caffe HDF5 files. Our evaluation code in TensorFlow can load these files. The AlexNet model uses LRN (applied before pooling)

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Training and evaluating self-supervised deep neural networks

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