Image Classification on ImageNet Long-Tailed (test)
58.8Top-1 AccuracyECL
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| ECL2026.02 | 58.8 | — | — | — | — | 68.6 | 56.3 | 40.1 | |
| PaCo2023.03 | 58.53 | — | 51.32 | 21.79 | 0 | — | — | — | |
| GPaCo2026.02 | 58 | — | — | — | — | 64.7 | 56.2 | 39.5 | |
| ProCo2026.02 | 57.8 | — | — | — | — | 68.2 | 55.1 | 38.1 | |
| PaCoGML=true, Ensemble=true2023.03 | 57.22 | — | 52.29 | 44.8 | 2 | — | — | — | |
| BCL2026.02 | 57.1 | — | — | — | — | 67.9 | 54.2 | 36.6 | |
| GLMC2026.02 | 56.3 | — | — | — | — | 70.1 | 52.4 | 30.4 | |
| ResLT2026.02 | 56.1 | — | — | — | — | 63.6 | 55.7 | 38.9 | |
| PaCo2026.02 | 56 | — | — | — | — | 64.4 | 55.7 | 33.7 | |
| RIDE2023.03 | 55.69 | — | 47.56 | 17.32 | 0 | — | — | — | |
| PaCoGML=true2023.03 | 55.57 | — | 50.67 | 43.71 | 2 | — | — | — | |
| DiVE2023.03 | 53.63 | — | 45.49 | 12.76 | 0 | — | — | — | |
| LADE2026.02 | 53 | — | — | — | — | 65.1 | 48.9 | 33.4 | |
| TSC2026.02 | 52.4 | — | — | — | — | 63.5 | 49.7 | 30.4 | |
| KCL2026.02 | 51.5 | — | — | — | — | 61.8 | 49.4 | 30.9 | |
| BSCE2023.03 | 50.48 | — | 42.32 | 13.74 | 0 | — | — | — | |
| LDAM2026.02 | 49.8 | — | — | — | — | 60.4 | 46.9 | 30.7 | |
| cRT2023.03 | 49.64 | — | 41.35 | 13.82 | 0 | — | — | — | |
| ABSGDSampling=None, Loss=CE, Stage-1 TV=All, Stage-2 TV=FC+LB, Backbone=ResNet-502020.12 | 48.2 | — | — | — | — | — | — | — | |
| METASampling=None, Loss=CE, Stage-1 TV=All, Stage-2 TV=FC, Backbone=ResNet-50, Additional Balanced Dataset=true2020.12 | 48 | — | — | — | — | — | — | — | |
| τ-normalizerSampling=CB, Loss=CE, Stage-1 TV=All, Stage-2 TV=FC, Backbone=ResNet-502020.12 | 46.7 | — | — | — | — | — | — | — | |
| CEGML=true2023.03 | 45.61 | — | 39.82 | 31.67 | 2 | — | — | — | |
| NCMSampling=CB, Loss=CE, Stage-1 TV=All, Stage-2 TV=FC, Backbone=ResNet-502020.12 | 44.3 | — | — | — | — | — | — | — | |
| CE2023.03 | 43.9 | — | 23.25 | 1.25 | 0 | — | — | — | |
| cRTSampling=CB, Loss=CE, Stage-1 TV=All, Stage-2 TV=FC, Backbone=ResNet-502020.12 | 43.3 | — | — | — | — | — | — | — | |
| CB-CESampling=None, Loss=CE, Stage-1 TV=All, Stage-2 TV=None, Backbone=ResNet-502020.12 | 41.8 | — | — | — | — | — | — | — | |
| JointSampling=CB, Loss=CE, Stage-1 TV=All, Stage-2 TV=All, Backbone=ResNet-502020.12 | 41.6 | — | — | — | — | — | — | — | |
| Vanilla ModelSampling=None, Loss=CE, Stage-1 TV=All, Stage-2 TV=None, Backbone=ResNet-502020.12 | 41 | — | — | — | — | — | — | — | |
| CB-Focal2026.02 | 33.2 | — | — | — | — | 39.6 | 32.7 | 16.8 | |
| AdaptiveBackbone=ResNet-502020.07 | — | 52.15 | — | — | — | — | — | — | |
| EqualisedBackbone=ResNet-502020.07 | — | 54.02 | — | — | — | — | — | — | |
| ERMBackbone=ResNet-502020.07 | — | 53.11 | — | — | — | — | — | — | |
| Logit adjustment lossBackbone=ResNet-50, tau=12020.07 | — | 48.89 | — | — | — | — | — | — | |
| Logit adjustment post-hocBackbone=ResNet-50, tau=12020.07 | — | 49.66 | — | — | — | — | — | — | |
| Logit adjustment post-hocBackbone=ResNet-50, tau=tau*2020.07 | — | 49.56 | — | — | — | — | — | — | |
| Weight normalisationBackbone=ResNet-50, tau=12020.07 | — | 52 | — | — | — | — | — | — | |
| Weight normalisationBackbone=ResNet-50, tau=tau*2020.07 | — | 49.37 | — | — | — | — | — | — |