Visual Cue

Visual cues, encompassing visual information used for perception and decision-making, are a central focus in current research across diverse fields. Studies explore how visual cues are integrated with other modalities (like language or physiological signals) using various machine learning models, including large language models, graph neural networks, and transformer architectures, to improve tasks such as object recognition, human-computer interaction, and medical diagnosis. This research is significant because effectively leveraging visual cues enhances the robustness and accuracy of artificial intelligence systems in numerous applications, from autonomous driving to healthcare.