Facial Expression Recognition On Sfew
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ViT + SE | 54.29 | Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition | - |
| Island Loss | 52.52 | Island Loss for Learning Discriminative Features in Facial Expression Recognition | |
| RAN (VGG16+ResNet18) | 56.4 | Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition | |
| Ada-DF | 60.46 | A Dual-Branch Adaptive Distribution Fusion Framework for Real-World Facial Expression Recognition |
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