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Emotion recognition in visual intelligence is heavily skewed towards linguistic cues, revealing a critical gap in purely visual affect recognition capabilities.
Emotion-LLaMAv2 leaps beyond its predecessor by ditching face detectors and embracing a unified architecture that actually understands emotion, thanks to a novel pre-fusion module and curriculum tuning.
