Abstract: AffectiveFusionNet showcases a new era in multimodal emotion recognition, ingeniously integrating the strengths of Visual Transformers (ViTs) and Variational Autoencoders (VAEs) with the ...
Abstract: The growth of interconnected devices has led to an enormous volume of temporal data that requires specialized compression models for efficient storage. Besides this, most applications need ...
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