AI RESEARCH
Attend to Anything: Foundation Model for Unified Human Attention Modeling
arXiv CS.CV
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ArXi:2606.03540v1 Announce Type: new Existing human attention (saliency) modeling methods persist as highly fragmented across modalities, scenes, and task formulations. Consequently, even with increasing model capacity and data scale, current models predominantly remain scene-dependent and task-specific, failing to practically generalize in real-world applications. To address the fundamental limitations, we present the Attend to Anything Model (AAM), a multi-modal foundation model that unifies attention modeling across various image, video, and audio-visual tasks and scenes.