Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...

Neuroscientists and computer vision scientists say a new dataset of unprecedented size -- comprising brain scans of four volunteers who each viewed 5,000 images -- will help researchers better ...

Video clips from N2010 (Nakano et al., 2010) and CW2019 (Costela and Woods, 2019) were presented to ViTs. The gaze positions of each self-attention head in the class token ([CLS]) — identified as peak ...