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📚 Paper Notes (Computer vision)
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18ICLR| Unsupervised Representation Learning by Predicting Image Rotations #11

Closed XFeiF closed 3 years ago

XFeiF commented 4 years ago

Paper && code

The paper proposes a new way of learning image representations from unlabeled data by predicting the image rotations. The problem formulation implicitly encourages the learned representation to be informative about the (foreground) object and its rotation. The idea is simple, but it turns out to be very effective. The authors demonstrate strong performance in multiple transfer learning scenarios, such as ImageNet classification, PASCAL classification, PASCAL segmentation, and CIFAR-10 classification.

XFeiF commented 4 years ago

Open review link!!!!
https://openreview.net/forum?id=S1v4N2l0-

XFeiF commented 4 years ago

image