Evaluating Open-Source Vision Language Models for Facial Emotion Recognition Against Traditional Deep Learning Models

Mulukutla, Vamsi Krishna; Pavarala, Sai Supriya; Rudraraju, Srinivasa Raju; Bonthu, Sridevi

Evaluating Open-Source Vision Language Models for Facial Emotion Recognition Against Traditional Deep Learning Models

Mulukutla, Vamsi Krishna and Pavarala, Sai Supriya and Rudraraju, Srinivasa Raju and Bonthu, Sridevi (2025) Evaluating Open-Source Vision Language Models for Facial Emotion Recognition Against Traditional Deep Learning Models. EAI Endorsed Transactions on AI and Robotics.

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Abstract

Facial Emotion Recognition (FER) is crucial for applications such as human-computer interaction and mental health diagnostics. This study presents the first empirical comparison of open-source Vision-Language Models (VLMs), including Phi-3.5 Vision and CLIP, against traditional deep learning models—

Item Type:	Article
Date Deposited:	04 Mar 2026 20:14
Last Modified:	10 Apr 2026 18:17
URI:	http://eprints.eai.eu/id/eprint/59887

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