Emotion Recognition on AffectNet 7 classes (test val)
66.34AccuracyEmotionGCN
Evaluation results
| Method | Links | |
|---|---|---|
| EmotionGCN2021.03 | 66.34 | |
| EfficientNet-B2Pre-training Dataset=VGGFace2, Note=Optimized for 7 classes2021.03 | 66.34 | |
| EfficientNet-B2Pre-training Dataset=VGGFace22021.03 | 66.17 | |
| EfficientNet-B0Pre-training Dataset=VGGFace2, Note=Optimized for 7 classes2021.03 | 65.74 | |
| DAN2021.03 | 65.69 | |
| RexNet-150Pre-training Dataset=VGGFace2, Note=Optimized for 7 classes2021.03 | 65.54 | |
| Distilled student2021.03 | 65.4 | |
| PAENet2021.03 | 65.29 | |
| ARMBackbone=ResNet-182021.03 | 65.2 | |
| DACL2021.03 | 65.2 | |
| EmotionNetBackbone=InceptionResNet-v12021.03 | 64.74 | |
| MobileNet-v1Pre-training Dataset=VGGFace22021.03 | 64.71 | |
| EfficientNet-B0Pre-training Dataset=VGGFace22021.03 | 64.57 | |
| EfficientNet-B2Pre-training Dataset=ImageNet2021.03 | 64.3 | |
| CPG2021.03 | 63.57 | |
| Inception-v3Pre-training Dataset=ImageNet2021.03 | 63.1 | |
| SENet-50Pre-training Dataset=VGGFace22021.03 | 62.3 | |
| NFNet-F0Pre-training Dataset=ImageNet2021.03 | 61.9 | |
| CAKE2021.03 | 61.7 | |
| EfficientNet-B0Pre-training Dataset=ImageNet2021.03 | 60.8 | |
| MobileNet-v1Pre-training Dataset=ImageNet2021.03 | 60.4 | |
| Pre-trained RexNet-150Pre-training Dataset=VGGFace2, Status=Frozen/No Fine-tuning2021.03 | 56.95 | |
| Pre-trained EfficientNet-B0Pre-training Dataset=VGGFace2, Status=Frozen/No Fine-tuning2021.03 | 55.87 | |
| Pre-trained MobileNet-v1Pre-training Dataset=VGGFace2, Status=Frozen/No Fine-tuning2021.03 | 45.17 | |
| Pre-trained SENet-50Pre-training Dataset=VGGFace2, Status=Frozen/No Fine-tuning2021.03 | 44.76 |