Abstract: Humans can effortlessly locate desired objects in cluttered environments, relying on a cognitive mechanism known as visual search to efficiently filter out irrelevant information and focus ...

Abstract: Visual Anomaly Detection (VAD) aims to identify abnormal samples in images that deviate from normal patterns, covering multiple domains, including industrial, logical, and medical fields.

The quality of the latent space in visual tokenizers (e.g., VAEs) is crucial for modern generative models. However, the standard reconstruction-based training paradigm produces a latent space that is ...

A recent study shows a new approach called Perceptual Attention Therapy (PATH) restores attention, memory and reading skills faster than standard therapies. Here, MEG brain imaging provides evidence ...

A new study led by scientists at the Perception Dynamics Institute and the University of California San Diego demonstrates that a specific visual training program significantly outperforms standard ...