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Found 3 papers, 2 papers with code
Geometric and Textural Augmentation for Domain Gap Reduction
Research has shown that convolutional neural networks for object recognition are vulnerable to changes in depiction because learning is biased towards the low-level statistics of texture patches.
Learning To Warp for Style Transfer
Since its inception in 2015, Style Transfer has focused on texturing a content image using an art exemplar.
Geometric Style Transfer
Our contribution is to introduce a neural architecture that supports transfer of geometric style.
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