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Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets
Computer ScienceInformation

Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets

T. Kopalidis, V. Solachidis, et al.

This survey unpacks deep Facial Expression Recognition (FER), tracing method and dataset evolution while tackling overfitting and expression-unrelated variations such as illumination, pose, and identity bias. It reviews preprocessing, feature extraction, static and dynamic deep models, benchmarks, and future directions. Research conducted by Thomas Kopalidis, Vassilios Solachidis, Nicholas Vretos, and Petros Daras.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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