Image Classification on ImageNet-C (level 3, test)
81.9Acc (Brightness)PCSR
Evaluation results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PCSRseverity level=32025.12 | 81.9 | 76 | 79.8 | 72.2 | 79.9 | 78 | 72.3 | 74.9 | 70.9 | 74.5 | 78.9 | 75.5 | 80.4 | 74.7 | 75.4 | 71.2 | |
| SARseverity level=32025.12 | 81.8 | 74.2 | 78.9 | 70.9 | 78.5 | 75.8 | 68.7 | 74.3 | 66.5 | 73.7 | 77.1 | 73.8 | 79.8 | 73.9 | 73.1 | 66.9 | |
| TENTseverity level=32025.12 | 81.6 | 74.2 | 78.9 | 70.8 | 78.5 | 76 | 68.7 | 74.3 | 66.6 | 73.6 | 77.1 | 73.7 | 79.7 | 73.9 | 73.2 | 66.9 | |
| DeYOBackbone=VitBase-LN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 80.7 | 74.5 | 80.4 | 71.1 | 78.6 | 78.6 | 70.1 | 72.3 | 69.4 | 71.9 | 77.2 | 74.2 | 79.2 | 72.1 | 72.8 | 69.3 | |
| APMLeveraged pre-trained weights on clean train set=false2024.10 | 80.5 | 68.5 | 77.2 | 71.3 | 73.3 | 74.8 | 60.6 | 64.7 | 48.5 | 65.4 | 77.8 | 61.6 | 75.2 | 64.1 | 69.3 | 58 | |
| DeYOBackbone=VitBase-LN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 80.2 | 74 | 79.5 | 70.6 | 78.2 | 77.9 | 69.7 | 71.7 | 68.9 | 71.4 | 76.7 | 73.9 | 78.7 | 71.6 | 72.4 | 69.2 | |
| Sourceseverity level=32025.12 | 80.1 | 69.2 | 74 | 62.3 | 75.1 | 70.1 | 60 | 72.1 | 51.1 | 71.3 | 75.2 | 69.1 | 77.6 | 71.5 | 69 | 59.1 | |
| SARBackbone=VitBase-LN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 79 | 71.3 | 79.6 | 68.3 | 76.2 | 76.4 | 66 | 68.8 | 64.7 | 68.4 | 74.1 | 71 | 77.1 | 68.2 | 68.1 | 64.2 | |
| TentBackbone=VitBase-LN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 78.8 | 69.5 | 79.5 | 68.2 | 75.9 | 76.3 | 41.9 | 68.7 | 63.8 | 68.1 | 73.7 | 70.9 | 76.7 | 68 | 67.6 | 63.8 | |
| TentBackbone=VitBase-LN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 78.1 | 69.2 | 78.8 | 66.3 | 74.9 | 75.2 | 60.4 | 67.1 | 60.9 | 66.3 | 72.4 | 69.1 | 75.8 | 66.2 | 65.2 | 61.4 | |
| SARBackbone=VitBase-LN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 77.7 | 70.3 | 78.4 | 67.8 | 74.7 | 75.8 | 62.8 | 68.5 | 63.1 | 68 | 72.7 | 70.7 | 75.7 | 67.8 | 66.9 | 63.5 | |
| DeYOBackbone=ResNet-50-GN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 77 | 64.5 | 73.5 | 55.2 | 71.5 | 69.8 | 58.8 | 64.4 | 46 | 63.7 | 70.2 | 63.1 | 70.7 | 64.5 | 62.3 | 55.9 | |
| DeYOBackbone=ResNet-50-GN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 76.9 | 63.8 | 73.2 | 54 | 71.2 | 69.2 | 57.9 | 64 | 44.9 | 63.2 | 69.8 | 62.2 | 70.2 | 63.9 | 61.2 | 55.1 | |
| EATABackbone=VitBase-LN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 76.9 | 67.4 | 75.9 | 63 | 74.2 | 73.3 | 61 | 65.3 | 57.1 | 63.6 | 73.1 | 66.3 | 74.8 | 62.6 | 64.5 | 59.3 | |
| SARBackbone=ResNet-50-GN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 76.7 | 59.3 | 71.4 | 46.6 | 67.3 | 65.1 | 52.8 | 60.3 | 33 | 59.5 | 67.8 | 57.5 | 66 | 59.6 | 57.8 | 47.8 | |
| SARBackbone=ResNet-50-GN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 76.4 | 59.9 | 71 | 47.9 | 67 | 65 | 53.6 | 60.8 | 36.7 | 60.2 | 67.6 | 58.2 | 65.8 | 60.5 | 57.9 | 49.7 | |
| EATABackbone=ResNet-50-GN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 75.9 | 58.2 | 71.1 | 45.7 | 64.7 | 63.6 | 52.7 | 59.2 | 32.6 | 58.8 | 67.8 | 55.5 | 64.5 | 58.7 | 56.4 | 45.9 | |
| BaselineLeveraged pre-trained weights on clean train set=true2024.10 | 75.8 | 57.6 | 62.7 | 49.5 | 67.1 | 59.8 | 47.6 | 57.1 | 35 | 57.4 | 68.6 | 60.2 | 70.1 | 54.3 | 54.7 | 48 | |
| TTT-MAELeveraged pre-trained weights on clean train set=true2024.10 | 75.8 | 64.4 | 64.4 | 59.4 | 71.2 | 64 | 54 | 63.6 | 50.7 | 64.2 | 71.3 | 64.2 | 73.1 | 61.8 | 58 | 57.4 | |
| OpenCLIP VIT-L/14Leveraged pre-trained weights on clean train set=false2024.10 | 75.8 | 62.5 | 71.8 | 65.5 | 67.7 | 69 | 54.7 | 58.9 | 42.4 | 59.5 | 72.8 | 59.9 | 69.7 | 58.2 | 63.5 | 51.8 | |
| BaselineTTT steps=102022.09 | 75.8 | — | 62.7 | 49.5 | 67.1 | 59.8 | 47.6 | 57.1 | 35 | 57.4 | 68.6 | 60.2 | 70.1 | 54.3 | 54.7 | 48 | |
| TTT-MAETTT steps=102022.09 | 75.8 | — | 64.4 | 59.4 | 71.2 | 64 | 54 | 63.6 | 50.7 | 64.2 | 71.3 | 64.2 | 73.1 | 61.8 | 58 | 57.4 | |
| MEMOBackbone=VitBase-LN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 75.8 | 62.1 | 79.7 | 57.2 | 72.6 | 74.1 | 43.1 | 62.1 | 45.6 | 61.5 | 70.6 | 62 | 72.3 | 57.9 | 46.5 | 49.9 | |
| MEMOBackbone=ResNet-50-GN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 75.7 | 54.6 | 70.2 | 40.1 | 60.2 | 57.6 | 54.1 | 55.9 | 23.1 | 54.1 | 66.7 | 49.5 | 61.5 | 54.3 | 54.8 | 41.4 | |
| MEMOBackbone=VitBase-LN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 75.7 | 61.9 | 79.6 | 57 | 72.6 | 73.9 | 43.1 | 61.9 | 45.4 | 61.4 | 70.5 | 61.8 | 72.1 | 57.7 | 46.6 | 49.8 | |
| MEMOBackbone=ResNet-50-GN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 75.5 | 54.5 | 69.9 | 40 | 60 | 57.6 | 54.1 | 55.7 | 22.8 | 53.9 | 66.6 | 49.2 | 61.3 | 54.2 | 54.8 | 41.2 | |
| ResNet-50-GNBackbone=ResNet-50-GN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 75.4 | 54 | 69.8 | 44.3 | 59.6 | 55.8 | 54 | 54.5 | 21.2 | 53.1 | 66.3 | 49.7 | 59.7 | 52.8 | 54.8 | 39.2 | |
| ResNet-50-GNBackbone=ResNet-50-GN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 75.3 | 54.1 | 69.7 | 44.4 | 59.6 | 55.8 | 54.1 | 54.5 | 21.2 | 53.1 | 66.4 | 49.8 | 59.7 | 52.9 | 54.9 | 39.3 | |
| TentBackbone=ResNet-50-GN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 75.3 | 55.2 | 70 | 38.2 | 62.3 | 61.9 | 38.8 | 58.8 | 26.8 | 58.7 | 66.3 | 54.9 | 63.6 | 58.5 | 51.6 | 42.6 | |
| TentBackbone=ResNet-50-GN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 75.2 | 55.4 | 70.1 | 39 | 62.3 | 62 | 41.4 | 59.1 | 27.9 | 58.3 | 66.4 | 54.7 | 63.7 | 58.6 | 51.3 | 41.1 | |
| EATABackbone=VitBase-LN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 73.6 | 63.6 | 77.9 | 60.1 | 71.3 | 72.5 | 52.6 | 60.7 | 51.8 | 61.6 | 69.7 | 64.2 | 71.3 | 58.5 | 53.3 | 54.8 | |
| EATABackbone=ResNet-50-GN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 72.4 | 50.3 | 66.6 | 35.7 | 54.7 | 55.7 | 39.8 | 52.3 | 30.1 | 51.7 | 56.2 | 46.4 | 56 | 52.9 | 43.8 | 39.6 | |
| VitBase-LNBackbone=VitBase-LN, Imbalance Ratio=∞, Evaluation Scenario=Online imbalanced label shifts2024.03 | 69.3 | 53.8 | 74.9 | 48.7 | 65.9 | 68 | 33.3 | 51.5 | 37.1 | 50.4 | 63.6 | 54.7 | 66 | 46.8 | 35.1 | 41.6 | |
| VitBase-LNBackbone=VitBase-LN, Batch Size=1, Evaluation Scenario=Batch size 12024.03 | 69.3 | 53.8 | 74.8 | 48.7 | 65.8 | 67.8 | 33.5 | 51.6 | 37.2 | 50.5 | 63.7 | 54.7 | 66 | 46.9 | 35.1 | 41.6 |