9 datasets found

Vision transformers have achieved encouraging progress in various computer vision tasks. A common belief is that this is attributed to the competence of self-attention in...

Skeleton-based action recognition receives the attention of many researchers as it is robust to viewpoint and illumination changes, and its processing is much more efficient than...

SMMix is a novel image mixing method that motivates both image and label enhancement by the model under training itself.

CutMix is a vital augmentation strategy that determines the performance and generalization ability of vision transformers (ViTs). However, the inconsistency between the mixed...

A dataset for vision transformers

The authors propose a method for self-supervised representation learning using knowledge distillation and vision transformers.

Sketch-based object localization in natural images, where given a crude hand-drawn sketch of an object, the goal is to localize all the instances of the same object on the...

Following tremendous success in natural language processing, transformers have re-

An image is worth 16x16 words: Transformers for image recognition at scale.