GPT-4V with emotion: A zero-shot benchmark for Generalized Emotion Recognition

Zheng Lian, Licai Sun, Haiyang Sun, Kang Chen, Zhuofan Wen, Hao Gu, Bin Liu, Jianhua Tao

Abstract: Highlights•This is the first work to quantitatively evaluate GPT-4V’s performance in emotion recognition.•We conduct a comprehensive analysis of GPT-4V’s multi-faceted capabilities.•This paper provides guidance for future directions following the emergence of GPT-4V.•This paper can serve as a zero-shot benchmark for subsequent research.•We have open-sourced the code and evaluation results.