Image Classification on ImageNet-C severity level 5 (test)
54.4Average Error RateEcoTTA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| EcoTTABackbone=ResNet-50, Pre-training=AugMix, K=52023.03 | 54.4 | 747 | |
| COTTABackbone=ResNet-50, Pre-training=AugMix2023.03 | 54.6 | 3,132 | |
| EATABackbone=ResNet-50, Pre-training=AugMix2023.03 | 54.9 | 1,486 | |
| EcoTTABackbone=ResNet-50, Pre-training=AugMix, K=42023.03 | 55.2 | 438 | |
| Continual TENTBackbone=ResNet-50, Pre-training=AugMix2023.03 | 56.1 | 1,486 | |
| BN Stats AdaptBackbone=ResNet-50, Pre-training=AugMix2023.03 | 57.87 | 91 | |
| COTTABackbone=ResNet-50, Pre-training=Standard2023.03 | 62.6 | 3,132 | |
| EcoTTABackbone=ResNet-50, Pre-training=Standard, K=52023.03 | 63.4 | 747 | |
| EATABackbone=ResNet-50, Pre-training=Standard2023.03 | 63.8 | 1,486 | |
| EcoTTABackbone=ResNet-50, Pre-training=Standard, K=42023.03 | 64.6 | 438 | |
| Continual TENTBackbone=ResNet-50, Pre-training=Standard2023.03 | 66.2 | 1,486 | |
| BN Stats AdaptBackbone=ResNet-50, Pre-training=Standard2023.03 | 72.18 | 91 | |
| SourceBackbone=ResNet-50, Pre-training=AugMix2023.03 | 74.36 | 91 | |
| SourceBackbone=ResNet-50, Pre-training=Standard2023.03 | 82.35 | 91 |