Semantic Segmentation on ADE20K to COCO-164K (test)
9.6mIoUSelective Scaling
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Selective ScalingModel=Segmenter-L2022.12 | 9.6 | 0.259 | |
| Selective ScalingModel=Knet-SWIN-L2022.12 | 9.06 | 0.327 | |
| Selective ScalingModel=ConvNeXt-L2022.12 | 8.99 | 0.32 | |
| UncalModel=SegFormer-B52022.12 | 8.2 | 0.467 | |
| TempSModel=SegFormer-B52022.12 | 8.2 | 0.466 | |
| LogSModel=SegFormer-B52022.12 | 8.2 | 0.468 | |
| DirSModel=SegFormer-B52022.12 | 8.2 | 0.469 | |
| Meta-Cal*Model=SegFormer-B52022.12 | 8.2 | 0.415 | |
| LTSModel=SegFormer-B52022.12 | 8.2 | 0.42 | |
| Ens.Model=SegFormer-B52022.12 | 8.2 | 0.465 | |
| Selective ScalingModel=SegFormer-B52022.12 | 8.2 | 0.331 | |
| Selective ScalingModel=Knet-DeepLab2022.12 | 7.02 | 0.351 |