Semantic Segmentation on NYUD v2 (evaluation)
55.8mIoUOurs (w SMMCL)
Evaluation Results
| Method | Links | |
|---|---|---|
| Ours (w SMMCL)Backbone=SegNeXt-B, Multi-scale evaluation=false, SMMCL=true2023.08 | 55.8 | |
| Ours (w SMMCL)Backbone=SegFormer-B2, Multi-scale evaluation=false, SMMCL=true2023.08 | 55.1 | |
| TokenFusionBackbone=SegFormer-B3, Multi-scale evaluation=false2023.08 | 54.8 | |
| Base (w/o SMMCL)Backbone=SegNeXt-B, Multi-scale evaluation=false, SMMCL=false2023.08 | 54.7 | |
| CMXBackbone=SegFormer-B2, Multi-scale evaluation=false2023.08 | 54.1 | |
| Base (w/o SMMCL)Backbone=SegFormer-B2, Multi-scale evaluation=false, SMMCL=false2023.08 | 53.7 | |
| Ours (w SMMCL)Backbone=ResNet-101, Multi-scale evaluation=false, SMMCL=true2023.08 | 53.4 | |
| TokenFusionBackbone=SegFormer-B2, Multi-scale evaluation=false2023.08 | 53.3 | |
| Base (w/o SMMCL)Backbone=ResNet-101, Multi-scale evaluation=false, SMMCL=false2023.08 | 52.5 | |
| SA-GateBackbone=ResNet-101, Multi-scale evaluation=true2023.08 | 52.4 | |
| ShapeConvBackbone=ResNeXt-101, Multi-scale evaluation=true2023.08 | 51.3 | |
| CENBackbone=ResNet-101, Multi-scale evaluation=false2023.08 | 51.1 |