Object Detection on Cityscapes-C (val)
26.8DefocusDiff. Detector
Evaluation results
| Method | Links | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Diff. DetectorSD Version=1.52025.03 | 26.8 | — | 20.3 | 23.2 | 17.2 | 21.7 | 23.7 | 3.4 | 16.6 | 24.2 | 32.5 | 34.4 | 30.6 | 33.7 | 24.4 | 29.1 | 24.1 | — | — | — | 69.5 | |
| Diff. DetectorSD Version=2.12025.03 | 26.2 | — | 18.4 | 20.9 | 15.7 | 20.5 | 21.9 | 4 | 14.3 | 22.6 | 31.4 | 33.8 | 29.3 | 32.5 | 21.5 | 27.9 | 22.7 | — | — | — | 65.5 | |
| PhysAugTechnique=Physical-based augmentation2024.12 | 25.6 | 42.6 | 1,430 | 1,700 | 1,190 | 19.1 | 25.5 | 3.9 | 8.6 | 21.3 | 35.3 | 39.5 | 27.5 | 39.1 | 28.9 | 19.9 | 22.6 | — | — | — | — | |
| Diff. GuidedSD Version=1.52025.03 | 25 | — | 11 | 13.6 | 10.8 | 14.2 | 21.4 | 3.4 | 5.4 | 24 | 39.6 | 40.3 | 36.3 | 39.2 | 16 | 18.9 | 21.3 | — | — | — | 50.5 | |
| OA-DGTechnique=Loss function2024.12 | 24.6 | 43.4 | 820 | 1,060 | 840 | 20.5 | 22.3 | 4.8 | 6.1 | 25 | 38.4 | 39.7 | 32.8 | 40.2 | 23.8 | 22 | 21.8 | — | — | — | — | |
| OA-DG2025.03 | 24.6 | — | 8.2 | 10.6 | 8.4 | 20.5 | 22.3 | 4.8 | 6.1 | 25 | 38.4 | 39.7 | 32.8 | 40.2 | 23.8 | 22 | 21.8 | — | — | — | 50.2 | |
| FSCETechnique=Loss function2024.12 | 23.3 | 43.1 | 740 | 1,020 | 820 | 20.3 | 21.5 | 4.8 | 5.6 | 23.6 | 37.1 | 38 | 31.9 | 40 | 23.2 | 20.4 | 21 | — | — | — | — | |
| FSCE2025.03 | 23.3 | — | 7.4 | 10.2 | 8.2 | 20.3 | 21.5 | 4.8 | 5.6 | 23.6 | 37.1 | 38 | 31.9 | 40 | 23.2 | 20.4 | 21 | — | — | — | 48.7 | |
| OA-MixTechnique=Data augmentation2024.12 | 22.8 | 42.7 | 720 | 960 | 770 | 18.8 | 21.9 | 5.4 | 5.2 | 23.6 | 37.3 | 38.7 | 31.9 | 40.2 | 22.2 | 20.2 | 20.8 | — | — | — | — | |
| OA-Mix2025.03 | 22.8 | — | 7.2 | 9.6 | 7.7 | 18.8 | 21.9 | 5.4 | 5.2 | 23.6 | 37.3 | 38.7 | 31.9 | 40.2 | 22.2 | 20.2 | 20.8 | — | — | — | 48.7 | |
| SupConTechnique=Loss function2024.12 | 22.6 | 43.2 | 700 | 950 | 740 | 20.2 | 22.3 | 4.3 | 5.3 | 23 | 37.3 | 38.9 | 31.6 | 40.1 | 24 | 20.1 | 20.9 | — | — | — | — | |
| Diff. GuidedSD Version=2.12025.03 | 21.6 | — | 8.2 | 10.5 | 8.2 | 12.4 | 20.1 | 3 | 3.1 | 24.5 | 39.2 | 39.5 | 35.8 | 38.7 | 19.6 | 23.1 | 20.5 | — | — | — | 48.6 | |
| StylizedAugTechnique=Data augmentation2024.12 | 19.5 | 36.3 | 480 | 680 | 430 | 18.7 | 18.5 | 2.7 | 3.5 | 17 | 30.5 | 31.9 | 22.7 | 33.9 | 22.6 | 20.8 | 17.2 | — | — | — | — | |
| AugMixTechnique=Data augmentation2024.12 | 18.3 | 39.5 | 500 | 680 | 510 | 18.1 | 19.3 | 6.2 | 5 | 20.5 | 31.2 | 33.7 | 25.6 | 37.4 | 20.3 | 19.6 | 18.1 | — | — | — | — | |
| PhotoDistortTechnique=Data augmentation2024.12 | 17.9 | 42.7 | 160 | 270 | 190 | 14.1 | 18.7 | 2 | 2.4 | 16.5 | 36 | 39.1 | 27.1 | 39.7 | 18 | 16.4 | 16.9 | — | — | — | — | |
| CutoutTechnique=Data augmentation2024.12 | 17.8 | 42.5 | 60 | 120 | 120 | 15.9 | 18.9 | 2 | 2.5 | 13.6 | 29.8 | 32.3 | 24.6 | 40.1 | 18.9 | 15.6 | 15.7 | — | — | — | — | |
| baseline2024.12 | 17.2 | 42.2 | 50 | 110 | 110 | 16.5 | 18.3 | 2.1 | 2.2 | 12.3 | 29.8 | 32 | 24.1 | 40.1 | 18.7 | 15.1 | 15.4 | — | — | — | — | |
| Sensitivity-Guided PruningRound=1, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 17.1 | 11.4 | — | — | — | — | 13.2 | — | 2.6 | — | — | — | 7.4 | — | — | — | — | 224.6 | 225 | 449.6 | — | |
| AutoAugTechnique=Data augmentation2024.12 | 16.8 | 42.4 | 90 | 160 | 90 | 14.4 | 18.9 | 2 | 1.9 | 16 | 32.9 | 35.2 | 26.3 | 39.4 | 17.9 | 11.6 | 15.8 | — | — | — | — | |
| WHWRound=1, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 16.5 | 9.1 | — | — | — | — | 13.3 | — | 2.8 | — | — | — | 6.7 | — | — | — | — | 253 | 255.2 | 508.2 | — | |
| ActMADRound=1, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 15.1 | 8.9 | — | — | — | — | 12.4 | — | 1.8 | — | — | — | 5.5 | — | — | — | — | 250.7 | 501.4 | 752.2 | — | |
| Sensitivity-Guided PruningRound=5, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 15.1 | 11.4 | — | — | — | — | 15.6 | — | 4.6 | — | — | — | 10.3 | — | — | — | — | 224.6 | 225 | 449.6 | — | |
| Sensitivity-Guided PruningRound=10, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 15.1 | 11.4 | — | — | — | — | 15.2 | — | 4.8 | — | — | — | 10.4 | — | — | — | — | 224.6 | 225 | 449.6 | — | |
| WHWRound=5, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 14.7 | 9.1 | — | — | — | — | 14.7 | — | 3.5 | — | — | — | 9.9 | — | — | — | — | 253 | 255.2 | 508.2 | — | |
| ActMADRound=5, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 13.9 | 8.9 | — | — | — | — | 14 | — | 3.3 | — | — | — | 7.7 | — | — | — | — | 250.7 | 501.4 | 752.2 | — | |
| ActMADRound=10, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 13.7 | 8.9 | — | — | — | — | 12.1 | — | 2.2 | — | — | — | 5 | — | — | — | — | 250.7 | 501.4 | 752.2 | — | |
| WHWRound=10, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 13.7 | 9.1 | — | — | — | — | 13.6 | — | 3.1 | — | — | — | 6.6 | — | — | — | — | 253 | 255.2 | 508.2 | — | |
| STFARRound=1, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 12.4 | 7.6 | — | — | — | — | 7.5 | — | 1.9 | — | — | — | 2.4 | — | — | — | — | 501.4 | 501.4 | 1,002.9 | — | |
| STFARRound=5, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 12.4 | 7.6 | — | — | — | — | 10.2 | — | 2.7 | — | — | — | 5 | — | — | — | — | 501.4 | 501.4 | 1,002.9 | — | |
| TESTRound=5, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 12.1 | 5.6 | — | — | — | — | 6.9 | — | 1.1 | — | — | — | 2.1 | — | — | — | — | 1,011.1 | 953.2 | 1,964.2 | — | |
| TESTRound=1, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 11.8 | 5.6 | — | — | — | — | 6.7 | — | 1.9 | — | — | — | 2.2 | — | — | — | — | 1,011.1 | 953.2 | 1,964.2 | — | |
| STFARRound=10, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 11.7 | 7.6 | — | — | — | — | 10.6 | — | 2.7 | — | — | — | 4.1 | — | — | — | — | 501.4 | 501.4 | 1,002.9 | — | |
| TESTRound=10, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 11.6 | 5.6 | — | — | — | — | 6.2 | — | 1.6 | — | — | — | 2.4 | — | — | — | — | 1,011.1 | 953.2 | 1,964.2 | — | |
| DUARound=1, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 11.3 | 4.6 | — | — | — | — | 6 | — | 0.8 | — | — | — | 1.4 | — | — | — | — | 250.7 | 0 | 250.7 | — | |
| DUARound=5, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 11.1 | 4.6 | — | — | — | — | 6.1 | — | 0.9 | — | — | — | 1.2 | — | — | — | — | 250.7 | 0 | 250.7 | — | |
| Direct TestRound=1, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 10.8 | 4.5 | — | — | — | — | 5.6 | — | 0.6 | — | — | — | 1 | — | — | — | — | 250.7 | 0 | 250.7 | — | |
| DUARound=10, Backbone=ResNet-18, Detector=Faster R-CNN, Pre-trained=ImageNet, Severity Level=52025.06 | 10.5 | 4.6 | — | — | — | — | 5.2 | — | 0.2 | — | — | — | 0.5 | — | — | — | — | 250.7 | 0 | 250.7 | — |