Accuracy(on validation set): 65.5%
Papers with Code · CC BY-SA 4.0
Facial Expression Recognition (FER)
Facial Expression Recognition (FER) is a computer vision task aimed at identifying and categorizing emotional expressions depicted on a human face. The goal is to automate the process of determining emotions in real-time, by analyzing the various features of a face such as eyebrows, eyes, mouth, and other features, and mapping them to a set of emotions such as anger, fear, surprise, sadness and happiness.
<span style="color:grey; opacity: 0.6">( Image credit: DeXpression )</span>
논문
Accuracy: 90.18
Accuracy(on validation set): 65.32%
Accuracy: 90.74
Accuracy: 90.49
Accuracy: 87.0%
Accuracy (10-fold): 89.6
Accuracy: 87.15
Accuracy: 79.26%
Accuracy(on validation set): 59.27
Accuracy: 90.04
Accuracy(on validation set): 51.181%
Accuracy: 93.09
Accuracy: 87.22
Accuracy: 87.76
Accuracy(on validation set): 55.17%
ICC: 0.67
Accuracy: 95.55
Accuracy (10-fold): 84.59
ICC: 0.598
Accuracy: 91.85
Accuracy: 91.41
Accuracy: 75.67