Image Classification on CIFAR-LT-100 (test)
42.15Top-1 ErrorMetaSAug with CE loss
Evaluation Results
| Method | Links | |
|---|---|---|
| MetaSAug with CE lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 42.15 | |
| MetaSAug with focal lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 42.41 | |
| MetaSAug with LDAM lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 42.47 | |
| Optimal Transport Re-weighting (Weight Vector)Backbone=ResNet-32, Imbalance Factor=202022.08 | 42.85 | |
| Meta-class-weight with focal lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 44.27 | |
| Meta-class-weight with CE lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 44.38 | |
| IB + Focal lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 45.47 | |
| IBBackbone=ResNet-32, Imbalance Factor=202022.08 | 46.43 | |
| IB + CBBackbone=ResNet-32, Imbalance Factor=202022.08 | 46.58 | |
| Meta-weight netBackbone=ResNet-32, Imbalance Factor=202022.08 | 46.96 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Factor=202022.08 | 47.01 | |
| CB, Focal lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 47.41 | |
| Optimal Transport Re-weighting (Weight Vector)Backbone=ResNet-32, Imbalance Factor=502022.08 | 47.5 | |
| Meta-class-weight with LDAM lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 47.62 | |
| MetaSAug with LDAM lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 47.73 | |
| Focal lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 48.05 | |
| CB, CE lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 48.06 | |
| MetaSAug with CE lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 48.1 | |
| L2RWBackbone=ResNet-32, Imbalance Factor=202022.08 | 48.36 | |
| MetaSAug with focal lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 48.38 | |
| LDAM lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 48.41 | |
| CE lossBackbone=ResNet-32, Imbalance Factor=202022.08 | 48.94 | |
| Meta-class-weight with focal lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 49.92 | |
| Meta-class-weight with LDAM lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 50.84 | |
| IBBackbone=ResNet-32, Imbalance Factor=502022.08 | 51.07 | |
| IB + Focal lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 51.08 | |
| IB + CBBackbone=ResNet-32, Imbalance Factor=502022.08 | 51.2 | |
| Optimal Transport Re-weighting (Weight Vector)Backbone=ResNet-32, Imbalance Factor=1002022.08 | 51.46 | |
| Meta-class-weight with CE lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 51.47 | |
| MetaSAug with LDAM lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 51.99 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Factor=502022.08 | 52.03 | |
| BBNBackbone=ResNet-32, Imbalance Factor=502022.08 | 52.98 | |
| MetaSAug with CE lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 53.13 | |
| LDAM lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 53.84 | |
| MetaSAug with focal lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 54.11 | |
| Meta-weight netBackbone=ResNet-32, Imbalance Factor=502022.08 | 54.34 | |
| IBBackbone=ResNet-32, Imbalance Factor=1002022.08 | 54.61 | |
| IB + CBBackbone=ResNet-32, Imbalance Factor=1002022.08 | 54.73 | |
| CB, Focal lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 54.79 | |
| Optimal Transport Re-weighting (Weight Vector)Backbone=ResNet-32, Imbalance Factor=2002022.08 | 54.97 | |
| IB + Focal lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 55.04 | |
| CB, CE lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 55.21 | |
| Meta-class-weight with focal lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 55.3 | |
| L2RWBackbone=ResNet-32, Imbalance Factor=502022.08 | 55.56 | |
| Focal lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 55.68 | |
| Meta-class-weight with LDAM lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 55.92 | |
| CE lossBackbone=ResNet-32, Imbalance Factor=502022.08 | 55.98 | |
| Meta-class-weight with CE lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 56.65 | |
| MetaSAug with LDAM lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 56.91 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Factor=1002022.08 | 57.11 | |
| BBNBackbone=ResNet-32, Imbalance Factor=1002022.08 | 57.44 | |
| Meta-weight netBackbone=ResNet-32, Imbalance Factor=1002022.08 | 58.39 | |
| LDAM lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 59.4 | |
| IB + Focal lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 59.61 | |
| L2RWBackbone=ResNet-32, Imbalance Factor=1002022.08 | 59.77 | |
| MetaSAug with focal lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 59.78 | |
| MetaSAug with CE lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 60.06 | |
| IB + CBBackbone=ResNet-32, Imbalance Factor=2002022.08 | 60.31 | |
| IBBackbone=ResNet-32, Imbalance Factor=2002022.08 | 60.34 | |
| CB, Focal lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 60.4 | |
| Meta-class-weight with LDAM lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 60.47 | |
| Meta-class-weight with focal lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 60.66 | |
| Meta-class-weight with CE lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 60.69 | |
| CB, CE lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 61.23 | |
| CE lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 61.54 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Factor=2002022.08 | 61.55 | |
| Focal lossBackbone=ResNet-32, Imbalance Factor=1002022.08 | 61.59 | |
| Meta-weight netBackbone=ResNet-32, Imbalance Factor=2002022.08 | 63.38 | |
| LDAM lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 63.47 | |
| CB, Focal lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 63.77 | |
| Focal lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 64.38 | |
| CB, CE lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 64.44 | |
| CE lossBackbone=ResNet-32, Imbalance Factor=2002022.08 | 65.3 | |
| L2RWBackbone=ResNet-32, Imbalance Factor=2002022.08 | 66.62 |