<ul><li>This research paper focuses on the Open-set Video-based Facial Expression Recognition (OV-FER) task.</li><li>The goal is to identify both known and unknown human facial expressions not encountered during training.</li><li>The proposed approach, Human Expression-Sensitive Prompting (HESP), enhances CLIP's ability to effectively model video-based facial expression details.</li><li>Experimental results show that HESP significantly improves CLIP's performance and outperforms other state-of-the-art methods.</li></ul>

Best Research on Facial Expression Recognition(FER) part1(Computer Vision + Artificial…

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