Facial Expression Recognition On Affectnet
Métriques
Accuracy (8 emotion)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy (8 emotion) |
|---|---|
| generating-faces-for-affect-analysis | 60.40 |
| pyramid-with-super-resolution-for-in-the-wild | 60.68 |
| robust-lightweight-facial-expression | 59.89 |
| resemotenet-bridging-accuracy-and-loss | - |
| using-self-supervised-co-training-to-improve | 60.34 |
| facial-expression-recognition-using-vanilla | 62.42 |
| fernext-facial-expression-recognition-using | - |
| local-learning-with-deep-and-handcrafted | 59.58 |
| leveraging-recent-advances-in-deep-learning | 61.60 |
| a-lightweight-model-enhancing-facial | 63.12 |
| increasingly-packing-multiple-facial | - |
| ad-corre-adaptive-correlation-based-loss-for | - |
| facial-motion-prior-networks-for-facial | - |
| a-dual-branch-adaptive-distribution-fusion | - |
| poster-v2-a-simpler-and-stronger-facial | 63.77 |
| using-self-supervised-co-training-to-improve | 61.09 |
| efficient-facial-feature-learning-with-wide | 59.3 |
| from-static-to-dynamic-adapting-landmark-1 | 63.06 |
| learn-from-all-erasing-attention-consistency | - |
| qcs-feature-refining-from-quadruplet-cross | 64.4 |
| using-self-supervised-co-training-to-improve | 55.36 |
| region-attention-networks-for-pose-and | 59.5 |
| a-dual-direction-attention-mixed-feature | 64.25 |
| using-self-supervised-co-training-to-improve | 61.72 |
| facial-expression-recognition-using-vanilla | 57.99 |
| a-novel-deep-learning-approach-for-facial | 64.13 |
| exploiting-emotional-dependencies-with-graph | - |
| batch-transformer-look-for-attention-in-batch | 64.29 |
| exploring-emotion-features-and-fusion | 53.925 |
| a-dual-direction-attention-mixed-feature | 65.04 |
| compacting-picking-and-growing-for | - |
| using-self-supervised-co-training-to-improve | 61.32 |
| in-search-of-a-robust-facial-expressions | - |
| facial-expression-recognition-using-vanilla | 58.28 |
| cage-circumplex-affect-guided-expression | 62.2 |
| cake-compact-and-accurate-k-dimensional | - |
| distribution-matching-for-heterogeneous-multi | - |
| learning-deep-global-multi-scale-and-local | 60.29 |
| classifying-emotions-and-engagement-in-online | 63.03 |
| using-self-supervised-co-training-to-improve | 52.46 |
| expression-affect-action-unit-recognition-aff | 63 |
| using-self-supervised-co-training-to-improve | 60.35 |
| norface-improving-facial-expression-analysis | 68.69 |
| facial-expression-recognition-in-the-wild-via | - |
| distract-your-attention-multi-head-cross | 62.09 |
| using-self-supervised-co-training-to-improve | 54.98 |
| representation-learning-and-identity | 65.00 |
| facial-expression-and-attributes-recognition | 61.32 |
| affectnet-a-database-for-facial-expression | 58.0 |