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Transfer Learning for Facial Expression Recognition

Facial expressions reflect psychological states and are crucial for understanding human emotions. Traditional facial expression recognition methods face challenges in real-world healthcare applications due to variations in facial structure, lighting conditions and occlusion. We present a methodology...

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Hauptverfasser: Rajesh Kumar, Giacomo Corvisieri, Tullio Flavio Fici, Syed Ibrar Hussain, Domenico Tegolo, Cesare Valenti
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-04-01
Schriftenreihe:Information
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Online Zugang:https://www.mdpi.com/2078-2489/16/4/320
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