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Found 2 papers, 1 papers with code
Style Neophile: Constantly Seeking Novel Styles for Domain Generalization
Existing methods in this direction suppose that a domain can be characterized by styles of its images, and train a network using style-augmented data so that the network is not biased to particular style distributions.
URIE: Universal Image Enhancement for Visual Recognition in the Wild
Despite the great advances in visual recognition, it has been witnessed that recognition models trained on clean images of common datasets are not robust against distorted images in the real world.
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