Suguru Yasutomi

Downstream Augmentation Generation For Contrastive Learning

Contrastive learning has become one of the most promising approaches for learning image representations. However, it heavily relies on heuristic data augmentation techniques, such as Gaussian blurring and color jittering, for making image pairs to be contrastively compared. These augmentations are n…