Facial Expression Recognition On Real World
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Covariance Pooling | 87.0% | Covariance Pooling For Facial Expression Recognition | |
| Multi Label Output | 79.26% | Facial Emotion Recognition: A multi-task approach using deep learning |
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