Visual Emotion Recognition on Instagram
85.3AccuracyViT-B/16
Evaluation results
| Method | Links | |
|---|---|---|
| ViT-B/16Enhancement strategy=w/ NS-LF2026.04 | 85.3 | |
| ViT-B/16Enhancement strategy=NS-LF2026.04 | 85.3 | |
| ResNet-50Enhancement strategy=w/ NS-LF2026.04 | 85.2 | |
| ResNet-50Enhancement strategy=NS-LF2026.04 | 85.2 | |
| DenseNet-121Enhancement strategy=w/ NS-LF2026.04 | 85 | |
| DenseNet-121Enhancement strategy=NS-LF2026.04 | 85 | |
| ResNet-50Enhancement strategy=Basic2026.04 | 84.6 | |
| ResNet-50Enhancement strategy=Basic2026.04 | 84.6 | |
| ViT-B/16Enhancement strategy=Basic2026.04 | 84.5 | |
| ViT-B/16Enhancement strategy=Basic2026.04 | 84.5 | |
| DenseNet-121Enhancement strategy=Basic2026.04 | 84 | |
| DenseNet-121Enhancement strategy=Basic2026.04 | 84 | |
| Avg.Enhancement strategy=w/ NS-LF2026.04 | 83.7 | |
| VGG-16Enhancement strategy=w/ NS-LF2026.04 | 83.1 | |
| Avg.Enhancement strategy=Basic2026.04 | 83.1 | |
| VGG-16Enhancement strategy=NS-LF2026.04 | 83.1 | |
| VGG-16Enhancement strategy=Basic2026.04 | 82.5 | |
| Swin-TEnhancement strategy=w/ NS-LF2026.04 | 82.5 | |
| VGG-16Enhancement strategy=Basic2026.04 | 82.5 | |
| Swin-TEnhancement strategy=NS-LF2026.04 | 82.5 | |
| Swin-TEnhancement strategy=Basic2026.04 | 82.3 | |
| Swin-TEnhancement strategy=Basic2026.04 | 82.3 | |
| AlexNetEnhancement strategy=w/ NS-LF2026.04 | 81.2 | |
| AlexNetEnhancement strategy=NS-LF2026.04 | 81.2 | |
| AlexNetEnhancement strategy=Basic2026.04 | 80.6 | |
| AlexNetEnhancement strategy=Basic2026.04 | 80.6 |