KTH-TIPS2-b

New chaotic contrastive learning method boosts texture classification accuracy

Researchers have developed a new texture classification framework that combines self-supervised learning with chaotic dynamics. This approach uses chaotic maps as data augmentation to train networks to learn robust feat…