Visual Emotion Recognition on Twitter II
91.68AccuracyUniEmo
Evaluation results
| Method | Links | |
|---|---|---|
| UniEmoBackbone=ViT-L/142025.07 | 91.68 | |
| UniEmoBackbone=ViT-B/162025.07 | 90.69 | |
| UniEmoBackbone=ViT-B/322025.07 | 89.94 | |
| MVPBackbone=ViT-B/322025.07 | 88.21 | |
| SimEmotionBackbone=ViT-B/322025.07 | 84.21 | |
| CoOpBackbone=ViT-B/322025.07 | 83.78 | |
| CoCoOpBackbone=ViT-B/322025.07 | 82.94 | |
| PT-DPCBackbone=ViT-B/322025.07 | 82.5 | |
| VGG-16Enhancement strategy=w/ NS-LF2026.04 | 74.9 | |
| VGG-16Enhancement strategy=NS-LF2026.04 | 74.9 | |
| VGG-16Enhancement strategy=Basic2026.04 | 74.3 | |
| ResNet-50Enhancement strategy=w/ NS-LF2026.04 | 74.3 | |
| VGG-16Enhancement strategy=Basic2026.04 | 74.3 | |
| ResNet-50Enhancement strategy=NS-LF2026.04 | 74.3 | |
| DenseNet-121Enhancement strategy=w/ NS-LF2026.04 | 74 | |
| DenseNet-121Enhancement strategy=NS-LF2026.04 | 74 | |
| Avg.Enhancement strategy=w/ NS-LF2026.04 | 73.3 | |
| Swin-TEnhancement strategy=w/ NS-LF2026.04 | 73.1 | |
| Swin-TEnhancement strategy=NS-LF2026.04 | 73.1 | |
| DenseNet-121Enhancement strategy=Basic2026.04 | 72.8 | |
| DenseNet-121Enhancement strategy=Basic2026.04 | 72.8 | |
| ViT-B/16Enhancement strategy=w/ NS-LF2026.04 | 72.2 | |
| ViT-B/16Enhancement strategy=NS-LF2026.04 | 72.2 | |
| ViT-B/16Enhancement strategy=Basic2026.04 | 72.1 | |
| ViT-B/16Enhancement strategy=Basic2026.04 | 72.1 | |
| Avg.Enhancement strategy=Basic2026.04 | 71.5 | |
| AlexNetEnhancement strategy=w/ NS-LF2026.04 | 71 | |
| ResNet-50Enhancement strategy=Basic2026.04 | 71 | |
| AlexNetEnhancement strategy=NS-LF2026.04 | 71 | |
| ResNet-50Enhancement strategy=Basic2026.04 | 71 | |
| Swin-TEnhancement strategy=Basic2026.04 | 70 | |
| Swin-TEnhancement strategy=Basic2026.04 | 70 | |
| AlexNetEnhancement strategy=Basic2026.04 | 68.5 | |
| AlexNetEnhancement strategy=Basic2026.04 | 68.5 |