Unsupervised Representation Learning by Predicting Image Rotations

ICLR 2018 Spyros GidarisPraveer SinghNikos Komodakis

Over the last years, deep convolutional neural networks (ConvNets) have transformed the field of computer vision thanks to their unparalleled capacity to learn high level semantic image features. However, in order to successfully learn those features, they usually require massive amounts of manually labeled data, which is both expensive and impractical to scale... (read more)

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