Facial Expression Recognition on DFEW (fold-1)
63.88UARViT-B Exact
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ViT-B ExactPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 63.88 | 76.21 | |
| ViT-B FlashLitePre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 63.77 | 76.51 | |
| AdaMAEPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 61.73 | 75.31 | |
| MGMAEPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 60.95 | 75.01 | |
| VideoMAEPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 59.94 | 72.9 | |
| VideoMAEv2Pre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 59.16 | 73.56 | |
| EVERESTPre-training=VoxCeleb2, Backbone=ViT-B2026.06 | 54.83 | 66.85 |