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Long Tail Learning On Imagenet Glt
Metrics
Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| RIDE + IFL | 45.64 | 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 | |
| LDAM | 38.54 | Invariant Feature Learning for Generalized Long-Tailed Classification | |
| cRT | 37.57 | Invariant Feature Learning for Generalized Long-Tailed Classification |
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