A survey on facial emotion recognition techniques: A state-of-the-art literature review

By Felipe Zago Canal, Tobias Müller, Jhennifer Cristine Matias, Gustavo Gino Scotton, A. Sá-Junior, Eliane Pozzebon, A. Sobieranski. Information Sciences, 2021

306 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/102c4a900b4f39233e7d481592b206d4cfb957ef

How researchers see this paper

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1. Wen-Huang Cheng
2. Hua Chung
3. Hong-Han Shuai
4. Hongxia Xie

Citations in the corpus

• Learning to Prompt for Vision-Language Emotion Recognition (2023, methodology): “Furthermore, we have conducted experiments in cross-domain scenarios, where the superior performance achieved by our method demonstrates the robustness of the learned prompts, effectively highlighting their ability to generalize and adapt across diverse tasks and domains. guage [4].”