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ACE-Brain-0.5 unifies spatial reasoning and action generation in embodied AI, achieving remarkable performance improvements across multiple benchmarks.
By using text as an anchor, this model achieves state-of-the-art emotional mimicry intensity estimation, even when visual and acoustic data are noisy or missing.
A dual-branch Transformer with safe cross-attention overcomes missing visual cues in emotion recognition by dynamically relying on audio, achieving state-of-the-art results on Aff-Wild2.
