Y. Rosmansyah

Evaluating Vision-Language Models for Emotion Recognition: A Comparative Study of In-Context Learning, LoRA Fine-Tuning, and CNN Baselines on FER-2013

Emotion recognition from facial expressions is an important task in computer vision and has recently attracted attention in the context of Vision-Language Models (VLMs). However, most existing studies emphasize outcome-level performance, with limited analysis of how different adaptation paradigms behave on fine-grained...