Saliency Detection on PASCAL-Context (test)
85.78maxFUV-M3TL
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| UV-M3TLBackbone=ViT-large2026.02 | 85.78 | — | — | |
| MTMamba++Backbone=Swin-Large2026.02 | 85.56 | — | — | |
| TaskDiffusionBackbone=ViT-large2026.02 | 84.94 | — | — | |
| MLOREBackbone=ViT-large2024.03 | 84.9 | — | — | |
| MLoREBackbone=ViT-large2026.02 | 84.9 | — | — | |
| TaskExpertBackbone=ViT-large2024.03 | 84.87 | — | — | |
| TaskExpertBackbone=ViT-large2026.02 | 84.87 | — | — | |
| TSP-TransformerBackbone=ViT-large2026.02 | 84.86 | — | — | |
| TaskPrompterBackbone=ViT-large2024.03 | 84.83 | — | — | |
| TaskPrompterBackbone=ViT-large2026.02 | 84.83 | — | — | |
| InvPTBackbone=ViT-large2024.03 | 84.81 | — | — | |
| InvPTBackbone=ViT-large2026.02 | 84.81 | — | — | |
| MTI-NetBackbone=HRNet182024.03 | 84.78 | — | — | |
| MTI-NetBackbone=HRNet182026.02 | 84.78 | — | — | |
| MTI-NetBackbone=ViT-large, reproduced=true2024.03 | 84.75 | — | — | |
| MTI-Net (Reproduced)Backbone=ViT-large2026.02 | 84.75 | — | — | |
| InvPT++Backbone=ViT-large2026.02 | 84.74 | — | — | |
| MLOREFLOPs (G)=72, #Param (M)=442024.03 | 84.7 | — | — | |
| ATRCBackbone=HRNet182026.02 | 84.7 | — | — | |
| TaskExpertFLOPs (G)=204, #Param (M)=552024.03 | 84.68 | — | — | |
| MTMambaBackbone=Swin-Large2026.02 | 84.14 | — | — | |
| ATRC-ASPPBackbone=HRNet182026.02 | 83.91 | — | — | |
| MQTransformerBackbone=not specified2026.02 | 83.58 | — | — | |
| FedAMPClient Setup=Multi-Task2023.11 | 83.35 | 0.27 | — | |
| LocalClient Setup=Multi-Task2023.11 | 83.23 | 0 | — | |
| FEDHCA2Client Setup=Multi-Task2023.11 | 83.18 | 0.75 | — | |
| MaT-FLClient Setup=Multi-Task2023.11 | 82.84 | -0.16 | — | |
| FedPerClient Setup=Multi-Task2023.11 | 82.5 | -0.16 | — | |
| ATRCBackbone=HRNet182024.03 | 82.29 | — | — | |
| ATRC-BMTASBackbone=HRNet182026.02 | 82.29 | — | — | |
| DittoClient Setup=Multi-Task2023.11 | 81.74 | -4.67 | — | |
| FedProxClient Setup=Multi-Task2023.11 | 81.29 | -8.12 | — | |
| ATRCBackbone=ViT-large, reproduced=true2024.03 | 81.2 | — | — | |
| ATRC (Reproduced)Backbone=ViT-large2026.02 | 81.2 | — | — | |
| FedAvgClient Setup=Multi-Task2023.11 | 81.08 | -7.56 | — | |
| LocalBackbone=Swin-T, Client Setup=Single-Task2023.11 | 80.91 | — | — | |
| FedAMPBackbone=Swin-T, Client Setup=Single-Task2023.11 | 80.79 | — | — | |
| FEDHCA^2Backbone=Swin-T, Client Setup=Single-Task2023.11 | 80.71 | — | — | |
| GDBackbone=HRNet-18, Task weights=manually tuned, Experimental seeds=average of 32024.06 | 79.6 | — | 67.99 | |
| Aligned-MTLBackbone=HRNet-18, Task weights=manually tuned, Experimental seeds=average of 32024.06 | 79.57 | — | 67.94 | |
| PCGradBackbone=HRNet-18, Task weights=manually tuned, Experimental seeds=average of 32024.06 | 79.38 | — | 67.86 | |
| MaT-FLBackbone=Swin-T, Client Setup=Single-Task2023.11 | 79.26 | — | — | |
| OursBackbone=HRNet-18, Task weights=manually tuned, Experimental seeds=average of 32024.06 | 79.26 | — | 68.3 | |
| PAD-NetBackbone=ViT-large, reproduced=true2024.03 | 79.21 | — | — | |
| PAD-Net (Reproduced)Backbone=ViT-large2026.02 | 79.21 | — | — | |
| CAGradBackbone=HRNet-18, Task weights=manually tuned, Experimental seeds=average of 32024.06 | 79.12 | — | 67.46 | |
| IndependentBackbone=HRNet-18, Task weights=manually tuned, Experimental seeds=average of 32024.06 | 78.98 | — | 67.05 | |
| MGDABackbone=HRNet-18, Task weights=manually tuned, Experimental seeds=average of 32024.06 | 78.98 | — | 67.32 | |
| FedPerBackbone=Swin-T, Client Setup=Single-Task2023.11 | 78.85 | — | — | |
| DittoBackbone=Swin-T, Client Setup=Single-Task2023.11 | 77.99 | — | — | |
| FedAvgBackbone=Swin-T, Client Setup=Single-Task2023.11 | 77.56 | — | — | |
| FedProxBackbone=Swin-T, Client Setup=Single-Task2023.11 | 77.26 | — | — | |
| Mod-SquadFLOPs (G)=420, #Param (M)=522024.03 | 66.9 | — | — | |
| M³ViTFLOPs (G)=420, #Param (M)=422024.03 | 66.3 | — | — | |
| PAD-NetBackbone=HRNet182024.03 | 65.8 | — | — | |
| PAD-NetBackbone=HRNet182026.02 | 65.8 | — | — | |
| ASTMTBackbone=not specified2026.02 | 65.7 | — | — | |
| AdapterBackbone=Swin-Tiny, Trainable Parameters (M)=11.24, Single Inference For All Tasks=false2024.03 | — | — | 61.28 | |
| BitfitBackbone=Swin-Tiny, Trainable Parameters (M)=2.85, Single Inference For All Tasks=false2024.03 | — | — | 60.64 | |
| CompactorBackbone=Swin-Tiny, Trainable Parameters (M)=2.78, Single Inference For All Tasks=false2024.03 | — | — | 60.08 | |
| Compactor++Backbone=Swin-Tiny, Trainable Parameters (M)=2.66, Single Inference For All Tasks=false2024.03 | — | — | 59.47 | |
| HyperFormerBackbone=Swin-Tiny, Trainable Parameters (M)=72.77, Single Inference For All Tasks=false2024.03 | — | — | 65.54 | |
| LoRABackbone=Swin-Tiny, Trainable Parameters (M)=2.87, Single Inference For All Tasks=false2024.03 | — | — | 61.9 | |
| MTL - Full Fine TuningBackbone=Swin-Tiny, Trainable Parameters (M)=30.06, Single Inference For All Tasks=true2024.03 | — | — | 65.21 | |
| MTL - Tuning Decoders OnlyBackbone=Swin-Tiny, Trainable Parameters (M)=1.94, Single Inference For All Tasks=true2024.03 | — | — | 57.46 | |
| MTLORABackbone=Swin-Tiny, Rank (r)=16, Trainable Parameters (M)=4.95, Single Inference For All Tasks=true2024.03 | — | — | 64.48 | |
| MTLORABackbone=Swin-Tiny, Rank (r)=32, Trainable Parameters (M)=6.08, Single Inference For All Tasks=true2024.03 | — | — | 64.9 | |
| MTLORABackbone=Swin-Tiny, Rank (r)=64, Trainable Parameters (M)=8.34, Single Inference For All Tasks=true2024.03 | — | — | 65.4 | |
| MTLORA+Backbone=Swin-Tiny, Rank (r)=4, Trainable Parameters (M)=2.57, Single Inference For All Tasks=true2024.03 | — | — | 63.14 | |
| MTLORA+Backbone=Swin-Tiny, Rank (r)=8, Trainable Parameters (M)=3.15, Single Inference For All Tasks=true2024.03 | — | — | 63.57 | |
| MTLORA+Backbone=Swin-Tiny, Rank (r)=16, Trainable Parameters (M)=4.29, Single Inference For All Tasks=true2024.03 | — | — | 64.32 | |
| PolyhistorBackbone=Swin-Tiny, Trainable Parameters (M)=8.96, Single Inference For All Tasks=false2024.03 | — | — | 65.54 | |
| Single TaskBackbone=Swin-Tiny, Trainable Parameters (M)=112.62, Single Inference For All Tasks=false2024.03 | — | — | 62.35 | |
| VL-AdapterBackbone=Swin-Tiny, Trainable Parameters (M)=4.74, Single Inference For All Tasks=false2024.03 | — | — | 62.29 | |
| VPT-deepBackbone=Swin-Tiny, Trainable Parameters (M)=3.43, Single Inference For All Tasks=false2024.03 | — | — | 58.15 | |
| VPT-shallowBackbone=Swin-Tiny, Trainable Parameters (M)=2.57, Single Inference For All Tasks=false2024.03 | — | — | 58.31 |