Beyond Semantics: Modeling Factual and Affective Perceptual Experiences from Vision-Language Data

ArXi:2606.03345v1 Announce Type: cross We present P-Topics (Perception Topics) modeling, a novel problem for understanding how images are perceived affectively and across cultures. The goal is to (1) discover and model the different perception experiences in a dataset of images and captions, where each experience is defined by an objective factual and a subjective affective aspect, and (2) associate images to their relevant perception experiences. We