Semantic Segmentation on H3D-to-H3DC (test)
38.42mIoU (Sunlight)APCoTTA
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| APCoTTACorruption Severity Level=5, Evaluation Mode=Online2025.05 | 38.42 | 48.19 | 46 | 53.17 | 57.19 | 36.51 | 44.07 | 46.22 | 77.25 | |
| PALMCorruption Severity Level=5, Evaluation Mode=Online2025.05 | 36.35 | 49.6 | 37.13 | 50.74 | 54.92 | 25.53 | 32.22 | 40.93 | 72.65 | |
| Pseudo-labelCorruption Severity Level=5, Evaluation Mode=Online2025.05 | 33.27 | 45.59 | 37.36 | 50.37 | 54.81 | 28.8 | 30.88 | 40.15 | 72.74 | |
| Wang et al.Corruption Severity Level=5, Evaluation Mode=Online2025.05 | 31.19 | 46.14 | 37.58 | 53.12 | 57.68 | 32 | 31.52 | 41.32 | 70.36 | |
| BN Stats AdaptCorruption Severity Level=5, Evaluation Mode=Online2025.05 | 31.16 | 46.06 | 37.28 | 52.17 | 57.29 | 30.26 | 32.64 | 40.98 | 71.89 | |
| TENT-onlineCorruption Severity Level=5, Evaluation Mode=Online2025.05 | 30.86 | 46.76 | 37.05 | 53.22 | 57.56 | 28.02 | 32.83 | 40.9 | 71.71 | |
| TENT-contunualCorruption Severity Level=5, Evaluation Mode=Online2025.05 | 30.48 | 47.26 | 37.47 | 51.29 | 57.03 | 28.23 | 30.7 | 40.35 | 72.01 | |
| CoTTACorruption Severity Level=5, Evaluation Mode=Online2025.05 | 30.39 | 46.41 | 37.54 | 53.17 | 56.63 | 28.55 | 31.73 | 40.63 | 72.01 | |
| SourceCorruption Severity Level=5, Evaluation Mode=Online2025.05 | 23.18 | 39.41 | 18.7 | 50.77 | 59.69 | 21.52 | 13.62 | 32.41 | 65.4 |