Emotion Classification On Cmu Mosei
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| MARLIN (ViT-S) | 80.38 | MARLIN: Masked Autoencoder for facial video Representation LearnINg | |
| MARLIN (ViT-B) | 80.6 | MARLIN: Masked Autoencoder for facial video Representation LearnINg | |
| ConCluGen | 66.48 | Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition | |
| MARLIN (ViT-L) | 80.63 | MARLIN: Masked Autoencoder for facial video Representation LearnINg |
0 of 4 row(s) selected.