Long-tailed Image Recognition on CIFAR-10 long-tailed (test)
88.1Accuracy (New Classes)BaCon-S
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| BaCon-SBackbone=ViT-B/16, Pre-trained=DINO, Fine-tuning protocol=fine-tune last block, pseudo-labeling branch=SimGCD-style2023.10 | 88.1 | 94.2 | 91.1 | — | — | |
| BaCon-OBackbone=ViT-B/16, Pre-trained=DINO, Fine-tuning protocol=fine-tune last block, pseudo-labeling branch=ORCA-style2023.10 | 78 | 83.3 | 80.7 | — | — | |
| RobustLTBase algorithm=AT-BSL, Backbone=WRN-28-102026.05 | 73.83 | — | 77.61 | 42.11 | 35.98 | |
| CFABase algorithm=AT-BSL, Backbone=WRN-28-102026.05 | 73.67 | — | 77.91 | 38.89 | 30.27 | |
| UDRBase algorithm=AT-BSL, Backbone=WRN-28-102026.05 | 73.4 | — | 77.66 | 38.4 | 29.78 | |
| DAFABase algorithm=AT-BSL, Backbone=WRN-28-102026.05 | 73.23 | — | 77.31 | 38.11 | 30.3 | |
| AT-BSLBase algorithm=AT-BSL, Backbone=WRN-28-102026.05 | 72.48 | — | 77.09 | 37.98 | 28.6 | |
| GCDBackbone=ViT-B/16, Pre-trained=DINO, Fine-tuning protocol=fine-tune last block2023.10 | 71.7 | 78.5 | 75.1 | — | — | |
| RobustLTBase algorithm=RoBal, Backbone=WRN-28-102026.05 | 70.32 | — | 74.63 | 36.08 | 29.19 | |
| CFABase algorithm=RoBal, Backbone=WRN-28-102026.05 | 67.42 | — | 72.81 | 33.35 | 23.52 | |
| RoBalBase algorithm=RoBal, Backbone=WRN-28-102026.05 | 67.15 | — | 72.73 | 32.29 | 22.19 | |
| TRSSLBackbone=ViT-B/16, Pre-trained=DINO, Fine-tuning protocol=fine-tune last block, Adapted=true2023.10 | 66.8 | 78.4 | 72.6 | — | — | |
| DAFABase algorithm=RoBal, Backbone=WRN-28-102026.05 | 66.78 | — | 72.25 | 32.87 | 23.22 | |
| RobustLTBase algorithm=REAT, Backbone=WRN-28-102026.05 | 66.58 | — | 71.98 | 33.01 | 24.21 | |
| RobustLTBase algorithm=TAET, Backbone=WRN-28-102026.05 | 64.36 | — | 68.05 | 34.05 | 29.33 | |
| CFABase algorithm=TAET, Backbone=WRN-28-102026.05 | 64.25 | — | 68.83 | 32.7 | 25.75 | |
| DAFABase algorithm=TAET, Backbone=WRN-28-102026.05 | 62.66 | — | 67.09 | 32.12 | 25.91 | |
| UDRBase algorithm=TAET, Backbone=WRN-28-102026.05 | 62.57 | — | 67.12 | 32.22 | 25.44 | |
| CFABase algorithm=REAT, Backbone=WRN-28-102026.05 | 62.2 | — | 68.68 | 30.66 | 19.71 | |
| DAFABase algorithm=REAT, Backbone=WRN-28-102026.05 | 61.45 | — | 67.84 | 29.32 | 19.01 | |
| UDRBase algorithm=REAT, Backbone=WRN-28-102026.05 | 61.38 | — | 68.22 | 29.28 | 17.6 | |
| REATBase algorithm=REAT, Backbone=WRN-28-102026.05 | 60.81 | — | 67.78 | 28.67 | 17.12 | |
| TAETBase algorithm=TAET, Backbone=WRN-28-102026.05 | 60.44 | — | 65.32 | 31.68 | 24.67 | |
| RobustLTBase algorithm=AWP, Backbone=WRN-28-102026.05 | 57.05 | — | 65.22 | 29.11 | 16.46 | |
| ORCABackbone=ViT-B/16, Pre-trained=DINO, Fine-tuning protocol=fine-tune last block2023.10 | 55.6 | 77.5 | 66.6 | — | — | |
| UDRBase algorithm=RoBal, Backbone=WRN-28-102026.05 | 53.6 | — | 62.38 | 31.11 | 18.28 | |
| DAFABase algorithm=AT, Backbone=WRN-28-102026.05 | 53.2 | — | 61.82 | 27.49 | 14.9 | |
| RobustLTBase algorithm=AT, Backbone=WRN-28-102026.05 | 52.67 | — | 61.59 | 28.97 | 16.36 | |
| DAFABase algorithm=AWP, Backbone=WRN-28-102026.05 | 51.43 | — | 60.63 | 28.78 | 15.37 | |
| AWPBase algorithm=AWP, Backbone=WRN-28-102026.05 | 50.17 | — | 59.66 | 28.5 | 14.9 | |
| UDRBase algorithm=AWP, Backbone=WRN-28-102026.05 | 50.1 | — | 59.65 | 28.59 | 14.92 | |
| ATBase algorithm=AT, Backbone=WRN-28-102026.05 | 48.56 | — | 58.25 | 27.28 | 13.71 | |
| UDRBase algorithm=AT, Backbone=WRN-28-102026.05 | 48.42 | — | 58.14 | 27.28 | 13.72 | |
| OpenConBackbone=ViT-B/16, Pre-trained=DINO, Fine-tuning protocol=fine-tune last block2023.10 | 47.2 | 87.2 | 67.2 | — | — | |
| CFABase algorithm=AT, Backbone=WRN-28-102026.05 | 46.72 | — | 56.8 | 28.5 | 14.7 | |
| CFABase algorithm=AWP, Backbone=WRN-28-102026.05 | 46.71 | — | 56.9 | 29.31 | 15.45 | |
| SimGCDBackbone=ViT-B/16, Pre-trained=DINO, Fine-tuning protocol=fine-tune last block2023.10 | 41.5 | 75.1 | 58.3 | — | — | |
| DARPBackbone=ViT-B/16, Pre-trained=DINO, Fine-tuning protocol=fine-tune last block2023.10 | 35.2 | 77.6 | 56.4 | — | — | |
| ABCBackbone=ViT-B/16, Pre-trained=DINO, Fine-tuning protocol=fine-tune last block2023.10 | 20.2 | 77.7 | 48.9 | — | — |