Results are sorted by their absolute performance under corruption.
In this section only models with a ResNet 50 Backbone with Feature Pyramid Networks are listed.
| Model | Backbone | box AP clean | box AP corr. | box % |
|---|
| Cascade Mask R-CNN | R-50-FPN | 41.2 | 20.7 | 50.2 |
| Faster R-CNN Combined | R-50-FPN | 34.6 | 20.4 | 58.9 |
| Cascade R-CNN | R-50-FPN | 40.4 | 20.1 | 49.7 |
| Mask R-CNN | R-50-FPN | 37.3 | 18.7 | 50.1 |
| Faster R-CNN | R-50-FPN | 36.3 | 18.2 | 50.2 |
| RetinaNet | R-50-FPN | 35.6 | 17.8 | 50.1 |
| Faster R-CNN Stylized | R-50-FPN | 21.5 | 14.1 | 65.6 |
| Model | Backbone | mask AP clean | mask AP corr. | mask % |
|---|
| Mask R-CNN Combined | R-50-FPN | 32.9 | 19.0 | 57.7 |
| Cascade Mask R-CNN | R-50-FPN | 35.7 | 17.6 | 49.3 |
| Mask R-CNN | R-50-FPN | 34.2 | 16.8 | 49.1 |
| Mask R-CNN Stylizes | R-50-FPN | 30.5 | 13.2 | 64.1 |
| Model | Backbone | box AP50 clean | box AP50 corr. | box % |
|---|
| Faster R-CNN Combined | R-50-FPN | 80.4 | 56.2 | 69.9 |
| Faster R-CNN Stylized | R-50-FPN | 68.0 | 50.0 | 73.5 |
| Faster R-CNN | R-50-FPN | 80.5 | 48.6 | 60.4 |
| Model | Backbone | box AP clean | box AP corr. | box % |
|---|
| Faster R-CNN Combined | R-50-FPN | 36.3 | 17.2 | 47.4 |
| Faster R-CNN Stylized | R-50-FPN | 28.5 | 14.7 | 51.5 |
| Faster R-CNN | R-50-FPN | 36.4 | 12.2 | 33.4 |
| Mask R-CNN | R-50-FPN | 37.5 | 11.7 | 31.1 |
| Model | Backbone | mask AP clean | mask AP corr. | mask % |
|---|
| Mask R-CNN Combined | R-50-FPN | 32.1 | 14.9 | 46.3 |
| Mask R-CNN Stylizes | R-50-FPN | 23.0 | 11.3 | 49.2 |
| Mask R-CNN | R-50-FPN | 32.7 | 10.0 | 30.5 |
Any mdel independent of it's backbone can participate in this track.
| Model | Backbone | box AP clean | box AP corr. | box % |
|---|
| Hybrid Task Cascade | X-101-64x4d-FPN-DCN | 50.6 | 32.7 | 64.7 |
| Faster R-CNN | X-101-32x4d-FPN-DCN | 43.4 | 26.7 | 61.6 |
| Faster R-CNN | X-101-64x4d-FPN | 41.3 | 23.4 | 56.6 |
| Mask R-CNN | R-50-FPN-DCN | 41.1 | 23.3 | 56.7 |
| Faster R-CNN | R-50-FPN-DCN | 40.0 | 22.4 | 56.1 |
| Faster R-CNN | X-101-32x4d-FPN | 40.1 | 22.3 | 55.5 |
| Faster R-CNN | R-101-FPN | 38.5 | 20.9 | 54.2 |
| Cascade Mask R-CNN | R-50-FPN | 41.2 | 20.7 | 50.2 |
| Faster R-CNN Combined | R-50-FPN | 34.6 | 20.4 | 58.9 |
| Cascade R-CNN | R-50-FPN | 40.4 | 20.1 | 49.7 |
| Mask R-CNN | R-50-FPN | 37.3 | 18.7 | 50.1 |
| Faster R-CNN | R-50-FPN | 36.3 | 18.2 | 50.2 |
| RetinaNet | R-50-FPN | 35.6 | 17.8 | 50.1 |
| Faster R-CNN Stylized | R-50-FPN | 21.5 | 14.1 | 65.6 |
| Model | Backbone | mask AP clean | mask AP corr. | mask % |
|---|
| Hybrid Task Cascade | X-101-64x4d-FPN-DCN | 43.8 | 28.1 | 64.0 |
| Mask R-CNN | R-50-FPN-DCN | 37.2 | 20.7 | 55.7 |
| Mask R-CNN Combined | R-50-FPN | 32.9 | 19.0 | 57.7 |
| Cascade Mask R-CNN | R-50-FPN | 35.7 | 17.6 | 49.3 |
| Mask R-CNN | R-50-FPN | 34.2 | 16.8 | 49.1 |
| Mask R-CNN Stylizes | R-50-FPN | 30.5 | 13.2 | 64.1 |
| Model | Backbone | box AP50 clean | box AP50 corr. | box % |
|---|
| Faster R-CNN Combined | R-50-FPN | 80.4 | 56.2 | 69.9 |
| Faster R-CNN Stylized | R-50-FPN | 68.0 | 50.0 | 73.5 |
| Faster R-CNN | R-50-FPN | 80.5 | 48.6 | 60.4 |
| Model | Backbone | box AP clean | box AP corr. | box % |
|---|
| Faster R-CNN Combined | R-50-FPN | 36.3 | 17.2 | 47.4 |
| Faster R-CNN Stylized | R-50-FPN | 28.5 | 14.7 | 51.5 |
| Faster R-CNN | R-50-FPN | 36.4 | 12.2 | 33.4 |
| Mask R-CNN | R-50-FPN | 37.5 | 11.7 | 31.1 |
| Model | Backbone | mask AP clean | mask AP corr. | mask % |
|---|
| Mask R-CNN Combined | R-50-FPN | 32.1 | 14.9 | 46.3 |
| Mask R-CNN Stylizes | R-50-FPN | 23.0 | 11.3 | 49.2 |
| Mask R-CNN | R-50-FPN | 32.7 | 10.0 | 30.5 |