Human Part Segmentation on PASCAL-Context (test)
61.93mIoUSingle Task
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Single TaskBackbone=Swin-Tiny, Trainable Parameters (M)=112.62, Single Inference For All Tasks=false2024.03 | 61.93 | — | |
| HyperFormerBackbone=Swin-Tiny, Trainable Parameters (M)=72.77, Single Inference For All Tasks=false2024.03 | 60.73 | — | |
| MTL - Full Fine TuningBackbone=Swin-Tiny, Trainable Parameters (M)=30.06, Single Inference For All Tasks=true2024.03 | 60.24 | — | |
| MTLORABackbone=Swin-Tiny, Rank (r)=64, Trainable Parameters (M)=8.34, Single Inference For All Tasks=true2024.03 | 59.84 | — | |
| MTLORABackbone=Swin-Tiny, Rank (r)=32, Trainable Parameters (M)=6.08, Single Inference For All Tasks=true2024.03 | 59.46 | — | |
| VL-AdapterBackbone=Swin-Tiny, Trainable Parameters (M)=4.74, Single Inference For All Tasks=false2024.03 | 59.15 | — | |
| PolyhistorBackbone=Swin-Tiny, Trainable Parameters (M)=8.96, Single Inference For All Tasks=false2024.03 | 59.15 | — | |
| MTLORABackbone=Swin-Tiny, Rank (r)=16, Trainable Parameters (M)=4.95, Single Inference For All Tasks=true2024.03 | 58.99 | — | |
| MTLORA+Backbone=Swin-Tiny, Rank (r)=16, Trainable Parameters (M)=4.29, Single Inference For All Tasks=true2024.03 | 58.7 | — | |
| MTLORA+Backbone=Swin-Tiny, Rank (r)=8, Trainable Parameters (M)=3.15, Single Inference For All Tasks=true2024.03 | 58.3 | — | |
| MTLORA+Backbone=Swin-Tiny, Rank (r)=4, Trainable Parameters (M)=2.57, Single Inference For All Tasks=true2024.03 | 57.77 | — | |
| LoRABackbone=Swin-Tiny, Trainable Parameters (M)=2.87, Single Inference For All Tasks=false2024.03 | 57.73 | — | |
| AdapterBackbone=Swin-Tiny, Trainable Parameters (M)=11.24, Single Inference For All Tasks=false2024.03 | 57.38 | — | |
| CompactorBackbone=Swin-Tiny, Trainable Parameters (M)=2.78, Single Inference For All Tasks=false2024.03 | 56.41 | — | |
| BitfitBackbone=Swin-Tiny, Trainable Parameters (M)=2.85, Single Inference For All Tasks=false2024.03 | 55.99 | — | |
| Compactor++Backbone=Swin-Tiny, Trainable Parameters (M)=2.66, Single Inference For All Tasks=false2024.03 | 55.69 | — | |
| LocalClient Setup=Multi-Task2023.11 | 55.01 | 0 | |
| FEDHCA2Client Setup=Multi-Task2023.11 | 55.01 | 0.75 | |
| MaT-FLClient Setup=Multi-Task2023.11 | 54.78 | -0.16 | |
| FedPerClient Setup=Multi-Task2023.11 | 54.75 | -0.16 | |
| FedAMPClient Setup=Multi-Task2023.11 | 54.1 | 0.27 | |
| MTL - Tuning Decoders OnlyBackbone=Swin-Tiny, Trainable Parameters (M)=1.94, Single Inference For All Tasks=true2024.03 | 53.48 | — | |
| FedAvgClient Setup=Multi-Task2023.11 | 52.88 | -7.56 | |
| VPT-deepBackbone=Swin-Tiny, Trainable Parameters (M)=3.43, Single Inference For All Tasks=false2024.03 | 52.54 | — | |
| FEDHCA^2Backbone=Swin-T, Client Setup=Single-Task2023.11 | 52.3 | — | |
| VPT-shallowBackbone=Swin-Tiny, Trainable Parameters (M)=2.57, Single Inference For All Tasks=false2024.03 | 52.27 | — | |
| FedAMPBackbone=Swin-T, Client Setup=Single-Task2023.11 | 52.05 | — | |
| DittoClient Setup=Multi-Task2023.11 | 51.45 | -4.67 | |
| FedProxClient Setup=Multi-Task2023.11 | 50.78 | -8.12 | |
| LocalBackbone=Swin-T, Client Setup=Single-Task2023.11 | 49.94 | — | |
| MaT-FLBackbone=Swin-T, Client Setup=Single-Task2023.11 | 48.63 | — | |
| FedPerBackbone=Swin-T, Client Setup=Single-Task2023.11 | 46.56 | — | |
| DittoBackbone=Swin-T, Client Setup=Single-Task2023.11 | 39.69 | — | |
| FedProxBackbone=Swin-T, Client Setup=Single-Task2023.11 | 38.1 | — | |
| FedAvgBackbone=Swin-T, Client Setup=Single-Task2023.11 | 37.33 | — |