Semantic Segmentation on Cityscapes-C 1.0 (val)
70.2mIoU (Brightness)EcoTTA
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| EcoTTAMemory (MB)=918, Backbone=DeepLabV3Plus-ResNet-50, K=4, Round=12023.03 | 70.2 | 62.4 | 46.3 | 41.9 | — | |
| Continual TENTMemory (MB)=2721, Backbone=DeepLabV3Plus-ResNet-50, Round=12023.03 | 70.1 | 62.1 | 46.1 | 40.2 | — | |
| EcoTTAMemory (MB)=918, Backbone=DeepLabV3Plus-ResNet-50, K=4, Round=102023.03 | 70.1 | 62.8 | 46.6 | 42.2 | — | |
| EcoTTAMemory (MB)=918, Backbone=DeepLabV3Plus-ResNet-50, K=4, Round=42023.03 | 70 | 62.8 | 46.5 | 42.2 | — | |
| EcoTTAMemory (MB)=918, Backbone=DeepLabV3Plus-ResNet-50, K=4, Round=72023.03 | 70 | 62.8 | 46.5 | 42.1 | — | |
| BN Stats AdaptMemory (MB)=280, Backbone=DeepLabV3Plus-ResNet-50, Round=12023.03 | 69.1 | 61 | 44.8 | 39.1 | — | |
| Continual TENTMemory (MB)=2721, Backbone=DeepLabV3Plus-ResNet-50, Round=42023.03 | 62.2 | 53.7 | 44.4 | 37.9 | — | |
| SourceMemory (MB)=280, Backbone=DeepLabV3Plus-ResNet-50, Round=12023.03 | 60.4 | 54.3 | 30 | 4.1 | — | |
| Continual TENTMemory (MB)=2721, Backbone=DeepLabV3Plus-ResNet-50, Round=72023.03 | 50 | 41.5 | 31.6 | 26.6 | — | |
| Continual TENTMemory (MB)=2721, Backbone=DeepLabV3Plus-ResNet-50, Round=102023.03 | 39.2 | 32.6 | 25.3 | 22.4 | — | |
| BN Stats AdaptMemory (MB)=280, Backbone=DeepLabV3Plus-ResNet-50, Round=All2023.03 | — | — | — | — | 53.6 | |
| Continual TENTMemory (MB)=2721, Backbone=DeepLabV3Plus-ResNet-50, Round=All2023.03 | — | — | — | — | 42.9 | |
| EcoTTAMemory (MB)=918, Backbone=DeepLabV3Plus-ResNet-50, K=4, Round=All2023.03 | — | — | — | — | 55.3 | |
| SourceMemory (MB)=280, Backbone=DeepLabV3Plus-ResNet-50, Round=All2023.03 | — | — | — | — | 37.2 |