Few-Shot Segmentation on Pascal-5^i (1-way 1-shot)
69.13mIoUMSANet
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MSANetBackbone=ResNet1012022.06 | 69.13 | — | — | — | — | 80.38 | 70.8 | 75.2 | 67.25 | 64.28 | — | — | — | |
| FPTransBackbone=DeiT-B/162022.10 | 68.8 | 72.3 | 70.6 | 68.3 | 64.1 | — | — | — | — | — | — | — | — | |
| MSANetBackbone=ResNet502022.06 | 68.52 | — | — | — | — | 80.44 | 69.25 | 74.6 | 67.84 | 62.4 | — | — | — | |
| BAMBackbone=ResNet502022.06 | 67.81 | — | — | — | — | 79.71 | 68.97 | 73.59 | 67.55 | 61.13 | — | — | — | |
| BAMBackbone=Res-502022.10 | 67.8 | 69 | 73.6 | 67.6 | 61.1 | — | — | — | — | — | — | — | — | |
| VATBackbone=ResNet1012022.06 | 67.5 | — | — | — | — | 78.8 | 68.4 | 72.5 | 64.8 | 64.2 | — | — | — | |
| MSANet (Meta Learner ablation)Backbone=ResNet1012022.06 | 66.82 | — | — | — | — | 77.31 | 67.56 | 72.9 | 64.94 | 61.91 | — | — | — | |
| HSNetBackbone=ResNet1012022.06 | 66.2 | — | — | — | — | 77.6 | 67.3 | 72.3 | 62 | 63.1 | — | — | — | |
| HSNetBackbone=Res-1012022.10 | 66.2 | 67.3 | 72.3 | 62 | 63.1 | — | — | — | — | — | — | — | — | |
| ASNetBackbone=ResNet-50, # learn. params.=1.3 M2022.03 | 66.1 | 68.9 | 71.7 | 61.1 | 62.7 | 77.7 | — | — | — | — | — | — | — | |
| MSANetBackbone=VGG162022.06 | 65.76 | — | — | — | — | 78.01 | 64.87 | 71.47 | 67.4 | 59.33 | — | — | — | |
| VATBackbone=ResNet502022.06 | 65.3 | — | — | — | — | 77.4 | 67.6 | 71.2 | 62.3 | 60.1 | — | — | — | |
| BaselineBackbone=DeiT-B/162022.10 | 64.9 | 68.2 | 69.4 | 61.7 | 60.5 | — | — | — | — | — | — | — | — | |
| MSANet (Meta Learner ablation)Backbone=ResNet502022.06 | 64.73 | — | — | — | — | 75.97 | 63.35 | 70.77 | 65.25 | 59.53 | — | — | — | |
| FPTransBackbone=ViT-B/162022.10 | 64.7 | 67.1 | 69.8 | 65.6 | 56.4 | — | — | — | — | — | — | — | — | |
| MFNet + SABackbone=ResNet-502021.10 | 64.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BAMBackbone=VGG162022.06 | 64.41 | — | — | — | — | 77.26 | 63.18 | 70.77 | 66.14 | 57.53 | — | — | — | |
| CyCTRBackbone=ResNet1012022.06 | 64.3 | — | — | — | — | 72.9 | 69.3 | 72.7 | 56.5 | 58.6 | — | — | — | |
| CyCTRBackbone=Res-1012022.10 | 64.3 | 69.3 | 72.7 | 56.5 | 58.6 | — | — | — | — | — | — | — | — | |
| CyCTRBackbone=Res-502022.10 | 64.2 | 67.8 | 72.8 | 58 | 58 | — | — | — | — | — | — | — | — | |
| HSNetBackbone=ResNet-50, # learn. params.=2.6 M2022.03 | 64 | 64.3 | 70.7 | 60.3 | 60.5 | 76.7 | — | — | — | — | — | — | — | |
| HSNetBackbone=ResNet502022.06 | 64 | — | — | — | — | 76.7 | 64.3 | 70.7 | 60.3 | 60.5 | — | — | — | |
| HSNetBackbone=ResNet-502021.10 | 64 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CyCTRBackbone=ResNet-502021.10 | 64 | — | — | — | — | — | — | — | — | — | — | — | — | |
| HSNetBackbone=Res-502022.10 | 64 | 64.3 | 70.7 | 60.3 | 60.5 | — | — | — | — | — | — | — | — | |
| MiningFSSBackbone=ResNet-502021.10 | 63.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| MSANet (Meta Learner ablation)Backbone=VGG162022.06 | 63.53 | — | — | — | — | 74.61 | 60.92 | 70 | 65.82 | 57.39 | — | — | — | |
| CMNBackbone=ResNet-502022.03 | 62.8 | 64.3 | 70 | 57.4 | 59.4 | 72.3 | — | — | — | — | — | — | — | |
| CMNBackbone=ResNet-502021.10 | 62.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SAGNNBackbone=ResNet-502022.03 | 62.1 | 64.7 | 69.6 | 57 | 57.2 | 73.2 | — | — | — | — | — | — | — | |
| MLCBackbone=ResNet-50, # learn. params.=8.7 M2022.03 | 62.1 | 59.2 | 71.2 | 65.6 | 52.5 | — | — | — | — | — | — | — | — | |
| MMNetBackbone=ResNet-50, # learn. params.=10.4 M2022.03 | 61.8 | 62.7 | 70.2 | 57.3 | 57 | — | — | — | — | — | — | — | — | |
| SCLBackbone=ResNet-502021.10 | 61.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BaselineBackbone=ViT-B/162022.10 | 61.8 | 62.9 | 69.1 | 62.2 | 53 | — | — | — | — | — | — | — | — | |
| MFNetBackbone=ResNet-502021.10 | 60.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PFENetBackbone=ResNet-50, # learn. params.=31.5 M2022.03 | 60.8 | 61.7 | 69.5 | 55.4 | 56.3 | 73.3 | — | — | — | — | — | — | — | |
| PFENetBackbone=ResNet502022.06 | 60.8 | — | — | — | — | 73.3 | 61.7 | 69.5 | 55.4 | 56.3 | — | — | — | |
| PFENetBackbone=ResNet-502021.10 | 60.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PFENetBackbone=Res-502022.10 | 60.8 | 61.7 | 69.5 | 55.4 | 56.3 | — | — | — | — | — | — | — | — | |
| PFENetBackbone=ResNet1012022.06 | 60.1 | — | — | — | — | 72.9 | 60.5 | 69.4 | 54.4 | 55.9 | — | — | — | |
| DENetBackbone=ResNet-502021.10 | 60.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PFENetBackbone=Res-1012022.10 | 60.1 | 60.5 | 69.4 | 54.4 | 55.9 | — | — | — | — | — | — | — | — | |
| HSNetBackbone=VGG162022.06 | 59.7 | — | — | — | — | 73.4 | 59.6 | 65.7 | 59.6 | 54 | — | — | — | |
| RePRIBackbone=ResNet1012022.06 | 59.4 | — | — | — | — | — | 59.6 | 68.6 | 62.2 | 47.2 | — | — | — | |
| RePRIBackbone=Res-1012022.10 | 59.4 | 59.6 | 68.6 | 62.2 | 47.2 | — | — | — | — | — | — | — | — | |
| ASGNetBackbone=ResNet-502021.10 | 59.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DANBackbone=ResNet1012022.06 | 58.2 | — | — | — | — | 71.9 | 54.7 | 68.6 | 57.8 | 51.6 | — | — | — | |
| ASRBackbone=ResNet-502021.10 | 58.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DANBackbone=Res-1012022.10 | 58.2 | 54.7 | 68.6 | 57.8 | 51.6 | — | — | — | — | — | — | — | — | |
| PFENetBackbone=VGG162022.06 | 58 | — | — | — | — | 72 | 56.9 | 68.2 | 54.4 | 52.4 | — | — | — | |
| CWTBackbone=ResNet-502021.10 | 56.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RPMMsBackbone=ResNet-502021.10 | 56.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RPMMBackbone=Res-502022.10 | 56.3 | 55.2 | 66.9 | 52.6 | 50.7 | — | — | — | — | — | — | — | — | |
| FWBBackbone=ResNet1012022.06 | 56.2 | — | — | — | — | — | 51.3 | 64.5 | 56.7 | 52.2 | — | — | — | |
| PGNetBackbone=ResNet502022.06 | 56 | — | — | — | — | 69.9 | 56 | 66.9 | 50.6 | 50.4 | — | — | — | |
| CRNetBackbone=ResNet502022.06 | 55.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CANetBackbone=ResNet-502022.03 | 55.4 | 52.5 | 65.9 | 51.3 | 51.9 | 66.2 | — | — | — | — | — | — | — | |
| CANetBackbone=ResNet502022.06 | 55.4 | — | — | — | — | — | 52.5 | 65.9 | 51.3 | 51.9 | — | — | — | |
| CRNetBackbone=VGG162022.06 | 55.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PPNetBackbone=ResNet1012022.06 | 55.2 | — | — | — | — | 70.9 | 52.7 | 62.8 | 57.4 | 47.7 | — | — | — | |
| ASNetBackbone=ResNet-1012022.03 | 53.6 | 53.5 | 62 | 43.9 | 55.1 | — | — | — | — | — | — | — | — | |
| PPNetBackbone=ResNet502022.06 | 52.84 | — | — | — | — | 69.19 | 48.58 | 60.58 | 55.71 | 46.47 | — | — | — | |
| PPNetBackbone=ResNet-502021.10 | 52.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| FWBBackbone=VGG162022.06 | 51.9 | — | — | — | — | — | 47 | 59.6 | 52.6 | 48.3 | — | — | — | |
| PPNetBackbone=ResNet-50, # learn. params.=23.5 M2022.03 | 51.5 | 47.8 | 58.8 | 53.8 | 45.6 | 69.2 | — | — | — | — | — | — | — | |
| HSNetBackbone=ResNet-1012022.03 | 51.1 | 49 | 60.6 | 42.5 | 52.3 | — | — | — | — | — | — | — | — | |
| PANetBackbone=ResNet502022.06 | 49.1 | — | — | — | — | — | 44 | 57.5 | 50.8 | 44 | — | — | — | |
| PANetBackbone=VGG162022.06 | 48.1 | — | — | — | — | — | 42.3 | 58 | 51.1 | 41.2 | — | — | — | |
| SG-OneBackbone=VGG162022.06 | 46.3 | — | — | — | — | — | 40.2 | 58.4 | 48.4 | 38.4 | — | — | — | |
| PFENetBackbone=ResNet-1012022.03 | 43.1 | 37.7 | 55.3 | 34.5 | 44.8 | — | — | — | — | — | — | — | — | |
| PANetBackbone=ResNet-1012022.03 | 38 | 33.6 | 48.6 | 32.3 | 37.6 | — | — | — | — | — | — | — | — | |
| ASNetps-mask=false, learnable parameters=1.3M2023.07 | — | 11.7 | 21.1 | 13.4 | 16.2 | — | — | — | — | — | — | — | 15.6 | |
| CSTps-mask=true, learnable parameters=0.4M2023.07 | — | 35.8 | 38.9 | 28.9 | 29.2 | — | — | — | — | — | — | — | 33.2 | |
| CST (image)ps-mask=false, learnable parameters=0.4M2023.07 | — | 11.9 | 20.7 | 15 | 16.3 | — | — | — | — | — | — | — | 16 | |
| DCAMABackbone=Swin-B, Shot=1-shot2022.07 | — | — | — | — | — | — | — | — | — | — | 21 | 7 | — | |
| DINOtraining=none, learnable parameters=02023.07 | — | 20 | 23.4 | 16.2 | 16.6 | — | — | — | — | — | — | — | 19.1 | |
| HSNetBackbone=Swin-B, Shot=1-shot2022.07 | — | — | — | — | — | — | — | — | — | — | 26 | 6 | — | |
| HSNetps-mask=false, learnable parameters=2.6M2023.07 | — | 20 | 23.5 | 16.2 | 16.6 | — | — | — | — | — | — | — | 19.1 |