Emotion Recognition on SEE
84.2Accuracy (Ha)Wan et al.
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wan et al.Network=ANN, Input region=Eye2025.12 | 84.2 | 92.8 | 79.9 | 76.7 | 66.2 | 75.8 | 84.2 | 78.4 | 80.6 | 83.1 | 74.4 | 79.2 | 80 | |
| R(2+1)DNetwork=ANN, Input region=Face2025.12 | 82 | 93.6 | 77.9 | 72.5 | 61.5 | 70.4 | 84.1 | 76.6 | 76.2 | 79.6 | 73.1 | 76.4 | 77.4 | |
| 3D Resnet18Network=ANN, Input region=Face2025.12 | 79.6 | 93.7 | 72.9 | 77.1 | 58.5 | 75.3 | 83.6 | 75.6 | 75.3 | 80.2 | 73.9 | 76.3 | 77.2 | |
| TNAS-ERNetwork=SNN, Input region=Eye2025.12 | 77.8 | 95 | 81.3 | 72.1 | 71.2 | 82.3 | 81.2 | 78.1 | 80.5 | 83.8 | 75.8 | 79.6 | 80.1 | |
| Former DFERNetwork=ANN, Input region=Face2025.12 | 74.2 | 89.4 | 80 | 68.1 | 61.7 | 72.5 | 74.5 | 75.3 | 74.3 | 74 | 71.3 | 73.8 | 74.3 | |
| EMONetwork=ANN, Input region=Eye2025.12 | 72.6 | 91.2 | 79.8 | 65.5 | 57.7 | 77.8 | 76.6 | 73.3 | 74 | 77.8 | 69.6 | 73.7 | 74.5 | |
| MSKDNetwork=SNN, Input region=Eye2025.12 | 64.4 | 82.3 | 71 | 60.9 | 52.8 | 67.1 | 70.1 | 65.7 | 67.7 | 68.4 | 63.1 | 66.3 | 66.9 | |
| EyemotionNetwork=ANN, Input region=Eye2025.12 | 63.7 | 78 | 59.5 | 57.9 | 44.7 | 60.1 | 71 | 60.8 | 57.8 | 64.4 | 61.1 | 61 | 62 | |
| SEENNetwork=Hybrid, Input region=Eye2025.12 | 58.5 | 76.9 | 67.4 | 57.1 | 50.7 | 60.9 | 64.7 | 61.8 | 64.1 | 65.9 | 55.1 | 61.8 | 62.3 | |
| Resnet18 + LSTMNetwork=ANN, Input region=Face2025.12 | 37 | 81.2 | 38.9 | 44.7 | 39 | 48.5 | 56.4 | 53.2 | 49.5 | 50.4 | 40.8 | 48.6 | 49.4 | |
| Resnet50 + GRUNetwork=ANN, Input region=Face2025.12 | 31.9 | 70.1 | 42 | 48 | 49.2 | 46 | 58.7 | 52.1 | 51.6 | 51.6 | 41.1 | 49.3 | 49.4 |