Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

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 ...

Facebook Inc.’s artificial intelligence research team today announced more breakthroughs, this time in the areas of self-supervised learning and semi-supervised learning for computer vision.

In the last decade, convolutional neural networks (CNNs) have been the go-to architecture in computer vision, owing to their powerful capability in learning representations from images/videos.

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...