WildDash is a benchmark evaluation method is presented that uses the meta-information to calculate the robustness of a given algorithm with respect to the individual hazards.
Source: WildDash - Creating Hazard-Aware Benchmarks
Image Source: https://wilddash.cc/
Variants: WildDash
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Semantic Segmentation | SIW | Scaling up Multi-domain Semantic Segmentation … | 2022-02-04 |
| Domain Generalization | ITEN | Exploiting Image Translations via Ensemble … | 2021-07-13 |
Recent papers with results on this dataset: