Facial Expression Recognition on MAFW (fold-1)
39.67UARViT-B Exact
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ViT-B ExactPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 39.67 | 50.87 | |
| ViT-B FlashLitePre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 39.2 | 51.2 | |
| VideoMAEPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 38.8 | 48.8 | |
| MGMAEPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 37.68 | 50.27 | |
| AdaMAEPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 37.59 | 50.27 | |
| VideoMAEv2Pre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 37.4 | 49.51 | |
| EVERESTPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 36.26 | 47.77 |