Long Tail Learning On Imagenet Glt
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| cRT | 37.57 | Invariant Feature Learning for Generalized Long-Tailed Classification | - |
| LDAM | 38.54 | Invariant Feature Learning for Generalized Long-Tailed Classification | - |
| RandAug + IFL | 44.90 | Invariant Feature Learning for Generalized Long-Tailed Classification | - |
| Logit-Adj + IFL | 40.52 | Invariant Feature Learning for Generalized Long-Tailed Classification | - |
| BLSoftmax + IFL | 40.08 | Invariant Feature Learning for Generalized Long-Tailed Classification | - |
| RIDE + IFL | 45.64 | Invariant Feature Learning for Generalized Long-Tailed Classification | - |
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