Edge Detection on NYUD v2
83.18ODSB^3-Net
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| B^3-NetDecoder Type=Bridge-feature-based decoder2026.05 | 83.18 | — | — | — | |
| BridgeNetDecoder Type=Bridge-feature-based decoder2026.05 | 80.02 | — | — | — | |
| MTMamba++Decoder Type=Mamba-based decoder2026.05 | 79.4 | — | — | — | |
| MTMambaDecoder Type=Mamba-based decoder2026.05 | 78.7 | — | — | — | |
| TaskDiffusionDecoder Type=Diffusion-based decoder2026.05 | 78.64 | — | — | — | |
| MLoREDecoder Type=Transformer-based decoder2026.05 | 78.43 | — | — | — | |
| TaskPrompterDecoder Type=Transformer-based decoder2026.05 | 78.2 | — | — | — | |
| MQTransformerDecoder Type=Transformer-based decoder2026.05 | 78.2 | — | — | — | |
| InvPTDecoder Type=Transformer-based decoder2026.05 | 78.1 | — | — | — | |
| InvPT++Decoder Type=Transformer-based decoder2026.05 | 78.1 | — | — | — | |
| ATRCDecoder Type=CNN-based decoder2026.05 | 77.94 | — | — | — | |
| MTI-NetDecoder Type=CNN-based decoder2026.05 | 77.86 | — | — | — | |
| TSP-TransformerDecoder Type=Transformer-based decoder2026.05 | 77.5 | — | — | — | |
| PAPDecoder Type=CNN-based decoder2026.05 | 76.42 | — | — | — | |
| PSDDecoder Type=CNN-based decoder2026.05 | 76.42 | — | — | — | |
| Cross-StitchDecoder Type=CNN-based decoder2026.05 | 76.38 | — | — | — | |
| PAD-NetDecoder Type=CNN-based decoder2026.05 | 76.38 | — | — | — | |
| EasyControlEdgeInference Steps (K)=5, Evaluation Protocol=SEval2026.02 | 0.791 | — | — | 0.799 | |
| EasyControlEdgeInference Steps (K)=50, Evaluation Protocol=SEval, Classifier-Free Guidance (CFG)=true2026.02 | 0.791 | — | — | 0.8 | |
| EasyControlEdgeInference Steps (K)=1, Evaluation Protocol=SEval2026.02 | 0.788 | — | — | 0.797 | |
| EdgeSAM-SEvaluation Protocol=SEval2026.02 | 0.783 | — | — | 0.797 | |
| GEDEvaluation Protocol=SEval2026.02 | 0.78 | — | — | 0.797 | |
| EasyControlEdgeInference Steps (K)=50, Evaluation Protocol=SEval, Classifier-Free Guidance (CFG)=false2026.02 | 0.78 | — | — | 0.788 | |
| EDTEREvaluation Protocol=SEval2026.02 | 0.774 | — | — | 0.789 | |
| EDMBEvaluation Protocol=SEval2026.02 | 0.774 | — | — | 0.787 | |
| EasyControlEdgeInference Steps (K)=50, Evaluation Protocol=CEval, Classifier-Free Guidance (CFG)=true2026.02 | 0.774 | — | — | 0.78 | |
| EasyControlEdgeInference Steps (K)=5, Evaluation Protocol=CEval2026.02 | 0.773 | — | — | 0.784 | |
| EasyControlEdgeInference Steps (K)=50, Evaluation Protocol=CEval, Classifier-Free Guidance (CFG)=false2026.02 | 0.77 | — | — | 0.777 | |
| DiffusionEdgeEvaluation Protocol=SEval2026.02 | 0.761 | — | — | 0.766 | |
| EasyControlEdgeInference Steps (K)=1, Evaluation Protocol=CEval2026.02 | 0.736 | — | — | 0.749 | |
| DiffusionEdgeEvaluation Protocol=CEval2026.02 | 0.732 | — | — | 0.738 | |
| GEDEvaluation Protocol=CEval2026.02 | 0.579 | — | — | 0.609 | |
| EDTEREvaluation Protocol=CEval2026.02 | 0.43 | — | — | 0.457 | |
| CAGRADBackbone=Swin-Tiny, FLOPs (G)=21.50, Params (M)=29.502026.01 | — | 0.08 | -7.4 | — | |
| MeteoraBackbone=Swin-Tiny, FLOPs (G)=60.44, Params (M)=98.572026.01 | — | 0.08 | -17.8 | — | |
| MTLMoEBackbone=Swin-Tiny, FLOPs (G)=77.16, Params (M)=115.902026.01 | — | 0.08 | -22.1 | — | |
| MTLoRABackbone=Swin-Tiny, FLOPs (G)=20.80, Params (M)=34.262026.01 | — | 0.08 | -3.2 | — | |
| Nash-MTLBackbone=Swin-Tiny, FLOPs (G)=21.50, Params (M)=29.502026.01 | — | 0.08 | -6.4 | — | |
| PAD-NetBackbone=HRNet-18, FLOPs (G)=310.70, Params (M)=19.522026.01 | — | 0.08 | 9.2 | — | |
| PCGRADBackbone=Swin-Tiny, FLOPs (G)=21.50, Params (M)=29.502026.01 | — | 0.08 | -8.27 | — | |
| RobuMTLBackbone=Swin-Tiny, FLOPs (G)=21.50, Params (M)=30.932026.01 | — | 0.08 | 1.3 | — | |
| RobuMTL+Backbone=Swin-Tiny, FLOPs (G)=21.50, Params (M)=30.932026.01 | — | 0.07 | 9.7 | — | |
| Single TaskBackbone=Swin-Tiny, FLOPs (G)=73.70, Params (M)=112.602026.01 | — | 0.08 | 0 | — |