Multi-modal embeddings encode texts, images, sounds, videos, etc., into a single embedding space, aligning representations across different modalities (e.g., associate an image of a dog with a barking ...
Abstract: Recently, multimodal fusion efforts have achieved remarkable success in Multimodal Sentiment Analysis (MSA). However, most of the existing methods are based on model-level fusion, and the ...
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