Facial Expression Recognition On Ferplus
Metriken
Accuracy(pretrained)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| KTN | 90.49 | Adaptively Learning Facial Expression Representation via C-F Labels and Distillation |
| RAN (VGG-16) | 89.16 | Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition |
| SENet Teacher | 88.88 | Emotion Recognition in Speech using Cross-Modal Transfer in the Wild |
| Local Learning Deep + BOW | 87.76 | Local Learning with Deep and Handcrafted Features for Facial Expression Recognition |
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