Semantic Segmentation on GTAV to {BDD100k, Cityscapes, Mapillary, Synthia} (val)
39.55mIoU (BDD100k)MRFP+
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MRFP+Backbone=ResNet-50, Source Dataset=GTAV2023.11 | 39.55 | 42.4 | 44.93 | 30.22 | 39.27 | |
| DIRLBackbone=ResNet-50, Source Dataset=GTAV2023.11 | 39.15 | 41.04 | 41.6 | — | — | |
| MRFPBackbone=ResNet-50, Source Dataset=GTAV2023.11 | 38.8 | 40.25 | 41.96 | 27.37 | 37.09 | |
| SAN-SAWBackbone=ResNet-50, Source Dataset=GTAV2023.11 | 37.34 | 39.75 | 41.86 | 26.7 | 36.41 | |
| ProRandConvBackbone=ResNet-50, Source Dataset=GTAV2023.11 | 37.03 | 42.36 | 41.63 | 25.52 | 36.63 | |
| WEDGEBackbone=ResNet-50, Source Dataset=GTAV2023.11 | 37 | 38.36 | 44.82 | — | — | |
| ISWBackbone=ResNet-50, Source Dataset=GTAV2023.11 | 35.2 | 36.58 | 40.33 | 28.3 | 35.1 | |
| WildNet*Backbone=ResNet-50, Source Dataset=GTAV, External ImageNet data=replaced with source dataset2023.11 | 34.65 | 39.13 | 39.05 | 28.41 | 35.31 | |
| IBN-NetBackbone=ResNet-50, Source Dataset=GTAV2023.11 | 32.3 | 33.85 | 37.75 | 27.9 | 32.95 | |
| BaselineBackbone=ResNet-50, Source Dataset=GTAV2023.11 | 31.44 | 34.66 | 32.93 | 25.84 | 31.21 |