Object Detection on PASCAL C (Corruption Metrics)
71.4mAP (Gaussian)FACTOR
Evaluation results
| Method | Links | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FACTORVisual Backbone=Swin-B2026.05 | 71.4 | 75.68 | 74.28 | 69.35 | 57.87 | 69.71 | 48.11 | 87.45 | 85.68 | 92.8 | 92.86 | 84.2 | 70.7 | 81.23 | 83.22 | 76.3 | — | |
| BCA+Visual Backbone=Swin-B2026.05 | 61.81 | 67.28 | 64.87 | 62.04 | 47.67 | 61.81 | 41.42 | 82.42 | 79.94 | 88.87 | 89.39 | 77.85 | 62.71 | 73.51 | 78.12 | 69.31 | — | |
| BCAVisual Backbone=Swin-B2026.05 | 60.21 | 64.89 | 62.46 | 59.84 | 45.98 | 60.55 | 40.66 | 80.67 | 77.69 | 88.02 | 88.66 | 75.73 | 61 | 71.22 | 76.32 | 67.59 | — | |
| HisTPTVisual Backbone=Swin-B2026.05 | 58.32 | 64.69 | 61 | 60.21 | 45.48 | 60.13 | 40.8 | 79.79 | 78.22 | 88.14 | 89.33 | 74.89 | 59.53 | 69.69 | 75.93 | 67.07 | — | |
| TDAVisual Backbone=Swin-B2026.05 | 57.82 | 63.79 | 60.8 | 57.98 | 43.84 | 57.91 | 38.84 | 78.36 | 76.41 | 85.98 | 86.28 | 74.33 | 58.45 | 69.45 | 74.31 | 65.64 | — | |
| GDINOVisual Backbone=Swin-B2026.05 | 54.94 | 60.54 | 57.72 | 56.12 | 41.17 | 56.08 | 36.94 | 76.48 | 73.75 | 84.56 | 85.16 | 70.69 | 55.56 | 66.17 | 71.44 | 63.15 | — | |
| FACTORVisual Backbone=Swin-T2026.05 | 33.97 | 38.99 | 37.02 | 45.33 | 26.54 | 36.09 | 28.6 | 56.77 | 61.39 | 72.63 | 74.46 | 55.42 | 41.78 | 19.42 | 49.45 | 45.19 | — | |
| STFARVisual Backbone=ResNet-502026.05 | 32.4 | 37.8 | 36.3 | 34.8 | 34.6 | 34.6 | 34.8 | 50.9 | 50.7 | 65.2 | 67.3 | 51.8 | 55.7 | 55.7 | 49.4 | 46.1 | — | |
| TTACVisual Backbone=ResNet-502026.05 | 29.8 | 35.1 | 33.6 | 29.3 | 28.7 | 29.2 | 34.9 | 48 | 50.4 | 68.7 | 72.2 | 40.4 | 58.1 | 46.1 | 46.4 | 43.4 | — | |
| HisTPTVisual Backbone=Swin-T2026.05 | 28.68 | 33.47 | 30.68 | 38.71 | 21.75 | 30.2 | 25.52 | 48.46 | 53.46 | 64.24 | 66.27 | 48.1 | 34.32 | 15.9 | 41.56 | 38.76 | — | |
| BCA+Visual Backbone=Swin-T2026.05 | 28.59 | 33.66 | 31.74 | 40.79 | 22.48 | 30.75 | 25.65 | 51.87 | 56.38 | 67.83 | 70.25 | 50.72 | 37.08 | 14.87 | 47.4 | 40.67 | — | |
| BCAVisual Backbone=Swin-T2026.05 | 28.37 | 33.68 | 31.9 | 38.46 | 22.24 | 30.39 | 24.97 | 49.37 | 53.21 | 64.27 | 68.11 | 49.42 | 34.42 | 14.81 | 42.81 | 39.1 | — | |
| TDAVisual Backbone=Swin-T2026.05 | 27.05 | 31.85 | 29.35 | 37.33 | 20.48 | 28.5 | 24.35 | 48.07 | 52.19 | 61.77 | 64.61 | 47.71 | 32.41 | 14.15 | 41.45 | 37.42 | — | |
| GDINOVisual Backbone=Swin-T2026.05 | 25.82 | 30.49 | 27.99 | 35.58 | 18.84 | 26.99 | 23.38 | 45.89 | 50.52 | 60.92 | 63.04 | 45.66 | 31.33 | 13.39 | 39.34 | 35.95 | — | |
| VLOD-TTADetector=YW2025.10 | 15.3 | 15.9 | 14.7 | 53.1 | 22.5 | 35.3 | 27.9 | 40.5 | 53.5 | 73.4 | 74.9 | 50.2 | 55.9 | 15.2 | 28.9 | 38.5 | — | |
| AdapterDetector=YW2025.10 | 14.7 | 15.2 | 13.2 | 51.5 | 18.8 | 33 | 26.4 | 39.7 | 52.4 | 71.8 | 73 | 47.8 | 55.4 | 14.8 | 28.7 | 37 | — | |
| DPEDetector=YW2025.10 | 13.1 | 12.4 | 11.8 | 50.5 | 16.2 | 34.7 | 28.1 | 37.1 | 50.5 | 72.4 | 75 | 48.2 | 52.3 | 11.5 | 22.9 | 35.8 | — | |
| VPTDetector=YW2025.10 | 12.7 | 12.1 | 11.5 | 50.2 | 15.9 | 33.9 | 27.7 | 36.7 | 50.5 | 72 | 74 | 46.7 | 52 | 10.9 | 21.9 | 35.2 | — | |
| TPTDetector=YW2025.10 | 12.6 | 11.8 | 11.4 | 50.2 | 15.7 | 34.1 | 28 | 36.2 | 50.7 | 71.9 | 74.1 | 46.7 | 51.9 | 10.7 | 21.6 | 35.2 | — | |
| SHOTVisual Backbone=ResNet-502026.05 | 12 | 19.9 | 16.4 | 18.9 | 11.6 | 19.7 | 27.6 | 42.5 | 45.8 | 67.5 | 72 | 31.7 | 46.6 | 33.1 | 41.8 | 33.8 | — | |
| ZSDetector=YW2025.10 | 11.9 | 11.4 | 11.2 | 49.6 | 15.5 | 34.1 | 27.6 | 35.7 | 50 | 71.8 | 74.3 | 44.4 | 50.8 | 10.1 | 20.7 | 34.6 | — | |
| Self-TrainingVisual Backbone=ResNet-502026.05 | 11.9 | 17.4 | 12.1 | 2.6 | 20.2 | 4.1 | 9.5 | 44.9 | 47.2 | 65.7 | 67.9 | 39.3 | 52.5 | 6.9 | 29.3 | 28.8 | — | |
| VLOD-TTAModel=YOLO-World2025.10 | 10.3 | 10.2 | 9.1 | 40.9 | 15.4 | 24.4 | 8.9 | 28.8 | 41.5 | 60.1 | 63.3 | 38.1 | 44.3 | 11.1 | 20.6 | 28.5 | — | |
| VLOD-TTAModel=YOLO-World2025.10 | 10.3 | 9.9 | 9.2 | 38.1 | 14.9 | 22.7 | 12.9 | 27.2 | 38.4 | 55.6 | 58.1 | 35.4 | 40.7 | 10.6 | 19.5 | 26.9 | — | |
| AdapterModel=YOLO-World2025.10 | 9.1 | 9.7 | 8.3 | 39.2 | 13.6 | 22.6 | 8.3 | 28 | 40.4 | 58.9 | 60.2 | 35.7 | 43.3 | 10.7 | 20.5 | 27.2 | — | |
| AdapterModel=YOLO-World2025.10 | 9 | 9.5 | 8.1 | 36.4 | 12.9 | 21.5 | 11.9 | 26.7 | 37.5 | 54.3 | 55.5 | 33.4 | 40.1 | 10.1 | 19.2 | 25.7 | — | |
| DPEModel=YOLO-World2025.10 | 8.3 | 8.3 | 7.9 | 39.5 | 11.3 | 24.3 | 9.1 | 27.2 | 39.8 | 59.9 | 63.1 | 35.9 | 41.5 | 8.3 | 17.6 | 26.8 | — | |
| TPTModel=YOLO-World2025.10 | 7.9 | 7.8 | 7.2 | 39.4 | 11.2 | 24 | 9 | 26.9 | 39.3 | 59.7 | 62.9 | 35.2 | 41.1 | 7.9 | 16.2 | 26.4 | — | |
| VPTModel=YOLO-World2025.10 | 7.9 | 7.7 | 7.2 | 38.5 | 11.4 | 23.5 | 8.7 | 26.2 | 39.3 | 59.8 | 61.8 | 35.3 | 41.2 | 7.8 | 16.4 | 26.2 | — | |
| VPTModel=YOLO-World2025.10 | 7.9 | 7.6 | 7.1 | 35.6 | 10.8 | 22.1 | 12.6 | 24.8 | 36.4 | 54.9 | 56.8 | 32.7 | 37.3 | 7.4 | 15.3 | 24.6 | — | |
| DPEModel=YOLO-World2025.10 | 7.9 | 8.2 | 7.6 | 36.3 | 10.9 | 22.6 | 12.8 | 25.3 | 36.9 | 55.1 | 57.9 | 33.6 | 37.4 | 8.2 | 16.4 | 25.1 | — | |
| TPTModel=YOLO-World2025.10 | 7.5 | 7.9 | 7.2 | 36.1 | 10.4 | 22.1 | 12.8 | 25.1 | 36.8 | 54.7 | 57.5 | 32.2 | 37.2 | 7.2 | 15.1 | 24.7 | — | |
| ZSModel=YOLO-World2025.10 | 7.4 | 7.1 | 6.9 | 39.3 | 10.8 | 24.1 | 8.7 | 26.2 | 39.1 | 59.8 | 62.8 | 34.1 | 40.2 | 7.1 | 15 | 25.9 | — | |
| ZSModel=YOLO-World2025.10 | 7.2 | 7.1 | 6.8 | 35.8 | 10.3 | 22.4 | 12.6 | 24.3 | 36.1 | 54.9 | 57.4 | 31.5 | 36.9 | 6.8 | 14 | 24.3 | — | |
| T3AVisual Backbone=ResNet-502026.05 | 6.1 | 8.4 | 6.5 | 11 | 6.4 | 10.1 | 13.8 | 16.8 | 20.6 | 32.7 | 36.9 | 12.5 | 19.7 | 13.2 | 14.8 | 15.3 | — |