Semantic Segmentation on PASCAL-5i (folds 0-3)
72.9mIoU (Fold 0)FECANet
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| FECANetBackbone=ResNet50, Shots=5-shot2023.01 | 72.9 | 74 | 65.2 | 67.8 | 70 | 80.7 | |
| IPMTBackbone=ResNet50, Shot=1-shot2022.11 | 72.8 | 73.7 | 59.2 | 61.6 | 66.8 | 77.1 | |
| ProtoFormerBackbone=ResNet50, Shot=5-shot, Learnable parameters=0.6M2022.11 | 71.4 | 75.2 | 57.5 | 65.7 | 67.4 | 77.1 | |
| BAMBackbone=ResNet50, Shots=5-shot2023.05 | 70.59 | 75.05 | 70.79 | 67.2 | 70.91 | — | |
| HSNetBackbone=ResNet50, Shots=5-shot2023.05 | 70.3 | 73.2 | 67.4 | 67.1 | 69.5 | — | |
| MIANetBackbone=ResNet50, Shots=5-shot2023.05 | 70.2 | 77.38 | 70.02 | 68.77 | 71.59 | — | |
| DPCNBackbone=ResNet50, Shots=5-shot2023.05 | 70 | 73.2 | 70.9 | 65.5 | 69.9 | — | |
| FECANetBackbone=ResNet50, Shots=1-shot2023.01 | 69.2 | 72.3 | 62.4 | 65.7 | 67.4 | 78.7 | |
| MIANetBackbone=VGG16, Shots=5-shot2023.05 | 69.01 | 76.14 | 73.24 | 69.55 | 71.99 | — | |
| BAMBackbone=ResNet50, Shot=1-shot, Learnable parameters=26.7M2022.11 | 69 | 73.6 | 67.6 | 61.1 | 67.8 | 79.7 | |
| BAMBackbone=ResNet50, Shots=1-shot2023.05 | 68.97 | 73.59 | 67.55 | 61.13 | 67.81 | — | |
| MIANetBackbone=ResNet50, Shots=1-shot2023.05 | 68.51 | 75.76 | 67.46 | 63.15 | 68.72 | — | |
| VATBackbone=ResNet50, Shot=1-shot, Learnable parameters=3.2M2022.11 | 67.6 | 72 | 62.3 | 60.1 | 65.5 | 77.8 | |
| DCAMABackbone=ResNet50, Shot=1-shot, Learnable parameters=47.7M2022.11 | 67.5 | 72.3 | 59.6 | 59 | 64.6 | 75.7 | |
| SSPBackbone=ResNet50, Shots=5-shot2023.05 | 67.5 | 72.3 | 75.2 | 62.1 | 69.3 | — | |
| BAMBackbone=VGG16, Shots=5-shot2023.05 | 67.36 | 73.05 | 70.61 | 64 | 68.76 | — | |
| ProtoFormerBackbone=ResNet101, Shot=1-shot, Learnable parameters=0.6M2022.11 | 67 | 72.2 | 55 | 58.4 | 63.2 | 72.6 | |
| FECANetBackbone=VGG16, Shots=1-shot2023.01 | 66.5 | 68.9 | 63.6 | 58.3 | 64.3 | 76.2 | |
| NTRENetBackbone=ResNet50, Shots=5-shot2023.05 | 66.2 | 72.8 | 61.7 | 62.2 | 65.7 | — | |
| ProtoFormerBackbone=ResNet50, Shot=1-shot, Learnable parameters=0.6M2022.11 | 65.9 | 72.5 | 55.9 | 58.1 | 63.1 | 72.6 | |
| CyCTRBackbone=ResNet50, Shot=1-shot, Learnable parameters=15.4M2022.11 | 65.7 | 71 | 59.5 | 59.7 | 64 | — | |
| DPCNBackbone=ResNet50, Shot=1-shot2022.11 | 65.7 | 71.6 | 69.1 | 60.6 | 66.7 | 78 | |
| DPCNBackbone=ResNet50, Shots=1-shot2023.05 | 65.7 | 71.6 | 69.1 | 60.6 | 66.7 | — | |
| MIANetBackbone=VGG16, Shots=1-shot2023.05 | 65.42 | 73.58 | 67.76 | 61.65 | 67.1 | — | |
| NTRENetBackbone=ResNet50, Shot=1-shot, Learnable parameters=19.9M2022.11 | 65.4 | 72.3 | 59.4 | 59.8 | 64.2 | 77 | |
| NTRENetBackbone=ResNet50, Shots=1-shot2023.05 | 65.4 | 72.3 | 59.4 | 59.8 | 64.2 | — | |
| HSNetBackbone=VGG16, Shots=5-shot2023.05 | 64.9 | 69 | 64.1 | 58.6 | 64.1 | — | |
| HSNetBackbone=ResNet50, Shot=1-shot, Learnable parameters=2.5M2022.11 | 64.3 | 70.7 | 60.3 | 60.5 | 64 | 76.7 | |
| HSNetBackbone=ResNet50, Shots=1-shot2023.01 | 64.3 | 70.7 | 60.3 | 60.5 | 64 | 76.7 | |
| HSNetBackbone=ResNet50, Shots=1-shot2023.05 | 64.3 | 70.7 | 60.3 | 60.5 | 64 | — | |
| DPCNBackbone=VGG16, Shots=5-shot2023.05 | 63.4 | 70.7 | 68.1 | 59 | 65.3 | — | |
| BaselineBackbone=ResNet50, Shots=5-shot2023.05 | 63.36 | 73.87 | 66.5 | 59.34 | 65.77 | — | |
| BAMBackbone=VGG16, Shots=1-shot2023.05 | 63.18 | 70.77 | 66.14 | 57.53 | 64.41 | — | |
| PFENetBackbone=ResNet50, Shots=5-shot2023.05 | 63.1 | 70.7 | 55.8 | 57.9 | 61.9 | — | |
| BaselineBackbone=ResNet50, Shots=1-shot2023.05 | 61.87 | 72.78 | 64.1 | 55.17 | 63.48 | — | |
| PFENetBackbone=ResNet50, Shot=1-shot, Learnable parameters=10.3M2022.11 | 61.7 | 69.5 | 55.4 | 56.3 | 60.8 | 73.3 | |
| PFENetBackbone=ResNet50, Shots=1-shot2023.05 | 61.7 | 69.5 | 55.4 | 56.3 | 60.8 | — | |
| SSPBackbone=ResNet50, Shot=1-shot, Learnable parameters=8.7M2022.11 | 60.5 | 67.8 | 66.4 | 51 | 61.4 | — | |
| SSPBackbone=ResNet50, Shots=1-shot2023.05 | 60.5 | 67.8 | 66.4 | 51 | 61.4 | — | |
| NTRENetBackbone=VGG16, Shots=5-shot2023.05 | 60.3 | 68 | 55.2 | 57.1 | 60.2 | — | |
| CWTn-shot=5-shot, Backbone=ResNet-50, Cross-domain setting=COCO → PASCAL2021.08 | 60.3 | 65.8 | 67.1 | 72.8 | 66.5 | — | |
| BaselineBackbone=VGG16, Shots=5-shot2023.05 | 59.92 | 72.03 | 64.69 | 57.16 | 63.45 | — | |
| RePRIBackbone=ResNet50, Shot=1-shot2022.11 | 59.8 | 68.3 | 62.1 | 48.5 | 59.7 | — | |
| HSNetBackbone=VGG16, Shots=1-shot2023.05 | 59.6 | 65.7 | 59.6 | 54 | 59.7 | — | |
| PFENetBackbone=VGG16, Shots=5-shot2023.05 | 59 | 69.1 | 54.8 | 52.9 | 59 | — | |
| DPCNBackbone=VGG16, Shots=1-shot2023.05 | 58.9 | 69.1 | 63.2 | 55.7 | 61.7 | — | |
| NTRENetBackbone=VGG16, Shots=1-shot2023.05 | 57.7 | 67.6 | 57.1 | 53.7 | 59 | — | |
| PFENetBackbone=VGG16, Shots=1-shot2023.05 | 56.9 | 68.2 | 54.4 | 52.4 | 58 | — | |
| CWTBackbone=ResNet50, Shot=1-shot2022.11 | 56.3 | 62 | 59.9 | 47.2 | 56.4 | — | |
| BaselineBackbone=VGG16, Shots=1-shot2023.05 | 56.12 | 70.86 | 63.1 | 54.36 | 61.11 | — | |
| PGNetBackbone=ResNet50, Shot=1-shot, Learnable parameters=17.2M2022.11 | 56 | 66.9 | 50.6 | 50.4 | 56 | 69.9 | |
| CWTn-shot=1-shot, Backbone=ResNet-50, Cross-domain setting=COCO → PASCAL2021.08 | 53.5 | 59.2 | 60.2 | 64.9 | 59.5 | — | |
| PMMBackbone=ResNet50, Shot=1-shot2022.11 | 52 | 67.5 | 51.5 | 49.8 | 55.2 | — | |
| FWBBackbone=ResNet101, Shot=1-shot, Learnable parameters=43.0M2022.11 | 51.3 | 64.5 | 56.7 | 52.2 | 56.2 | — | |
| PPNetBackbone=ResNet50, Shot=1-shot, Learnable parameters=31.5M2022.11 | 48.6 | 60.6 | 55.7 | 46.5 | 52.8 | 69.2 | |
| PANetBackbone=ResNet50, Shot=1-shot, Learnable parameters=23.5M2022.11 | 44 | 57.5 | 50.8 | 44 | 49.1 | — | |
| PANetBackbone=VGG16, Shots=1-shot2023.01 | 42.3 | 58 | 51.1 | 41.2 | 48.1 | 66.5 | |
| RPMMsn-shot=5-shot, Backbone=ResNet-50, Cross-domain setting=COCO → PASCAL2021.08 | 40.2 | 58 | 55.2 | 61.8 | 53.8 | — | |
| co-FCNBackbone=VGG16, Shots=1-shot2023.01 | 36.7 | 50.6 | 44.9 | 32.4 | 41.4 | 60.1 | |
| RPMMsn-shot=1-shot, Backbone=ResNet-50, Cross-domain setting=COCO → PASCAL2021.08 | 36.3 | 55 | 52.5 | 54.6 | 49.6 | — | |
| OSLSMBackbone=VGG16, Shots=1-shot2023.01 | 33.6 | 55.3 | 40.9 | 33.5 | 40.8 | 61.3 |