Corrupted Image Classification and OOD Detection on ImageNet-C 1.0 (test)
65.38AccuracyEATA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| EATABackbone=DeiT Base2024.04 | 65.38 | 57.95 | 92.92 | 44.29 | |
| TENTBackbone=DeiT Base2024.04 | 62.85 | 59.51 | 93.47 | 43.52 | |
| EATA + UniEnt+Backbone=DeiT Base2024.04 | 61.5 | 66.96 | 89.99 | 48.79 | |
| COTTABackbone=DeiT Base2024.04 | 60.73 | 53.51 | 93.14 | 37.33 | |
| OSTTABackbone=DeiT Base2024.04 | 60.19 | 60.69 | 92.42 | 43.19 | |
| EATA + UniEntBackbone=DeiT Base2024.04 | 59.36 | 67.22 | 91.63 | 48.23 | |
| TENT + UniEntBackbone=DeiT Base2024.04 | 58.81 | 67.1 | 90.9 | 47.4 | |
| OSTTA + UniEntBackbone=DeiT Base2024.04 | 58.73 | 67.62 | 90.51 | 47.64 | |
| OSTTA + UniEnt+Backbone=DeiT Base2024.04 | 58.72 | 67.28 | 90.02 | 47.32 | |
| TENT + UniEnt+Backbone=DeiT Base2024.04 | 58.4 | 66.69 | 90.43 | 46.74 | |
| SourceBackbone=DeiT Base2024.04 | 56.59 | 56.01 | 91.55 | 36.13 | |
| EATA + UniEnt+Backbone=ResNet-502024.04 | 51.57 | 59.45 | 93.6 | 38.27 | |
| EATABackbone=ResNet-502024.04 | 51.4 | 53.1 | 95.18 | 34.87 | |
| EATA + UniEntBackbone=ResNet-502024.04 | 49.6 | 58.29 | 93.63 | 36.28 | |
| OSTTA + UniEntBackbone=ResNet-502024.04 | 47.92 | 56.02 | 95.23 | 34.47 | |
| OSTTABackbone=ResNet-502024.04 | 47.91 | 52.93 | 96.15 | 32.77 | |
| COTTABackbone=ResNet-502024.04 | 47.67 | 55.58 | 94.51 | 33.8 | |
| TENT + UniEntBackbone=ResNet-502024.04 | 47.53 | 56.33 | 95.21 | 34.42 | |
| OSTTA + UniEnt+Backbone=ResNet-502024.04 | 47.47 | 55.67 | 95.16 | 34.03 | |
| TENT + UniEnt+Backbone=ResNet-502024.04 | 46.87 | 55.86 | 95.1 | 33.73 | |
| TENTBackbone=ResNet-502024.04 | 45.82 | 51.34 | 96.47 | 30.33 | |
| SourceBackbone=ResNet-502024.04 | 28.21 | 49.63 | 94.74 | 19.81 |