Semantic Segmentation on LLRGBD synthetic (test)
68.76mIoUSMMCL (Ours)
Evaluation Results
| Method | Links | |
|---|---|---|
| SMMCL (Ours)Backbone=SegNeXt-B, SMMCL=true2023.08 | 68.76 | |
| SMMCL (Ours)Backbone=SegFormer-B2, SMMCL=true2023.08 | 67.77 | |
| CMXBackbone=SegFormer-B2, re-implementation=true2023.08 | 66.52 | |
| BaseBackbone=SegNeXt-B, SMMCL=false2023.08 | 66.02 | |
| BaseBackbone=SegFormer-B2, SMMCL=false2023.08 | 65.69 | |
| TokenFusionBackbone=SegFormer-B2, re-implementation=true2023.08 | 64.75 | |
| SMMCL (Ours)Backbone=ResNet-101, SMMCL=true2023.08 | 64.4 | |
| ShapeConvBackbone=ResNeXt-101, multi-scale=true, re-implementation=true2023.08 | 63.26 | |
| BaseBackbone=ResNet-101, SMMCL=false2023.08 | 62.73 | |
| CENBackbone=ResNet-101, re-implementation=true2023.08 | 62.15 | |
| SA-GateBackbone=ResNet-1012023.08 | 61.79 |