Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets
Thomas Kopalidis,
Vassilios Solachidis,
Nicholas Vretos
et al.
Abstract:Recent technological developments have enabled computers to identify and categorize facial expressions to determine a person’s emotional state in an image or a video. This process, called “Facial Expression Recognition (FER)”, has become one of the most popular research areas in computer vision. In recent times, deep FER systems have primarily concentrated on addressing two significant challenges: the problem of overfitting due to limited training data availability, and the presence of expression-unrelated var… Show more
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