Visual Emotion Recognition on EmoSet
78.4AccuracySwin-T
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Swin-TEnhancement strategy=w/ NS-LF2026.04 | 78.4 | — | — | |
| Swin-TEnhancement strategy=NS-LF2026.04 | 78.4 | — | — | |
| ViT-B/16Enhancement strategy=w/ NS-LF2026.04 | 77.7 | — | — | |
| ViT-B/16Enhancement strategy=NS-LF2026.04 | 77.7 | — | — | |
| ViT-B/16Enhancement strategy=Basic2026.04 | 77.3 | — | — | |
| ViT-B/16Enhancement strategy=Basic2026.04 | 77.3 | — | — | |
| Swin-TEnhancement strategy=Basic2026.04 | 76.9 | — | — | |
| Swin-TEnhancement strategy=Basic2026.04 | 76.9 | — | — | |
| ResNet-50Enhancement strategy=w/ NS-LF2026.04 | 76.3 | — | — | |
| ResNet-50Enhancement strategy=NS-LF2026.04 | 76.3 | — | — | |
| ResNet-50Enhancement strategy=Basic2026.04 | 75.8 | — | — | |
| ResNet-50Enhancement strategy=Basic2026.04 | 75.8 | — | — | |
| DenseNet-121Enhancement strategy=w/ NS-LF2026.04 | 75.2 | — | — | |
| DenseNet-121Enhancement strategy=NS-LF2026.04 | 75.2 | — | — | |
| Avg.Enhancement strategy=w/ NS-LF2026.04 | 75.1 | — | — | |
| DenseNet-121Enhancement strategy=Basic2026.04 | 74.9 | — | — | |
| DenseNet-121Enhancement strategy=Basic2026.04 | 74.9 | — | — | |
| Avg.Enhancement strategy=Basic2026.04 | 74.1 | — | — | |
| VGG-16Enhancement strategy=w/ NS-LF2026.04 | 73.9 | — | — | |
| VGG-16Enhancement strategy=NS-LF2026.04 | 73.9 | — | — | |
| VGG-16Enhancement strategy=Basic2026.04 | 72.2 | — | — | |
| VGG-16Enhancement strategy=Basic2026.04 | 72.2 | — | — | |
| AlexNetEnhancement strategy=w/ NS-LF2026.04 | 69.2 | — | — | |
| AlexNetEnhancement strategy=NS-LF2026.04 | 69.2 | — | — | |
| AlexNetEnhancement strategy=Basic2026.04 | 67.6 | — | — | |
| AlexNetEnhancement strategy=Basic2026.04 | 67.6 | — | — | |
| CES-NETTraining Strategy=Joint Training2026.05 | 60.2 | 59 | 12 | |
| DES-NETTraining Strategy=Joint Training2026.05 | 50.1 | 58 | 23 | |
| DDES-NETTraining Strategy=Joint Training2026.05 | 39.4 | 47 | 32 |