Facial Expression Recognition On Ck
Metrics
Accuracy (7 emotion)
Results
Performance results of various models on this benchmark
Comparison Table
Model Name | Accuracy (7 emotion) |
---|---|
learning-vision-transformer-with-squeeze-and | 99.8 |
facenet2expnet-regularizing-a-deep-face | - |
patt-lite-lightweight-patch-and-attention | 100.00 |
using-self-supervised-co-training-to-improve | 98.23 |
frame-attention-networks-for-facial | 99.7 |
deep-emotion-facial-expression-recognition | 98 |
a-novel-deep-learning-approach-for-facial | - |