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Multi-Domain Feature Enhancement and Fusion Transformer with Bilateral Facial Structure Awareness for Robust and Cross-Domain Facial Expression Recognition

2025-11-20

Abstract excerpt

Facial expression recognition (FER) is essential for affective computing and human–computer interaction, but robust performance under unconstrained conditions (illumination, pose, occlusion, cultural diversity) remains difficult to achieve. Traditional CNNs focus on local details and struggle with global dependencies, while Vision Transformers (ViT) model global context yet often overlook fine-grained texture and...

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Literature Corpus work
e37bf254-2ca7-5097-9656-1378577c3e82
DOI
10.20944/preprints202511.1524.v1
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Multi-Domain Feature Enhancement and Fusion Transformer with Bilateral Facial Structure Awareness for Robust and Cross-Domain Facial Expression RecognitionDOI 10.20944/preprints202511.1524.v1
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