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ArtSociety: Multi-Agent Multimodal Collaboration for Art Emotion Understanding

Li, Jian et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognitioni-2-10i-2-7
The AffectiveArt Multidimensional Art Emotion Understanding task asks to jointly predict an artwork's fine-grained emotion (12 classes, 1549:1 head-to-tail ratio), binary valence/arousal, and five attribute-grounded descriptions -- sub-tasks that exhibit strong empirical trade-offs, so the single-mo
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