2022
Geometric and Textural Augmentation for Domain Gap Reduction
CVPR 2022poster
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. Recent works concentrate on improving robustness by applying style transfer to training examples to miti…