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Multimodal Vision Transformers with Forced Attention for Behavior Analysis
Human behavior understanding requires looking at minute details in the large context of a scene containing multiple input modalities.
Multimodal Personality Recognition using Cross-Attention Transformer and Behaviour Encoding
Personality computing and affective computing have gained recent interest in many research areas.
From Multimodal to Unimodal Attention in Transformers using Knowledge Distillation
Multimodal Deep Learning has garnered much interest, and transformers have triggered novel approaches, thanks to the cross-attention mechanism.
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