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2 - AMFMER A Multimodal Full Transformer For Unifying Aesthetic Assessment Tasks by Cop copscholarship is a document available to read on EtoBox.

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The document presents AMFMER, a novel multimodal transformer model designed for aesthetic assessment tasks, which integrates visual and textual features to enhance aesthetic quality predictions. It addresses limitations of existing methods by employing an improved Swin transformer for image feature extraction and a RoBERTa text encoder for semantic information, utilizing a mid-fusion approach to better model multimodal interactions. Experimental results demonstrate that AMFMER outperforms current mainstream

Author

Cop copscholarship

Language

EN