Few-shot Classification on mini-ImageNet (1, 5, 10, 20-shot Accuracy)
77.8Accuracy (1-shot)TIM-GD
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TIM-GDTransductive=true, Backbone=WRN-28-102022.06 | 77.8 | 87.4 | — | — | — | |
| TIM-ADMTransductive=true, Backbone=WRN-28-102022.06 | 77.5 | 87.2 | — | — | — | |
| Rot + KD + POODLETransductive=true, Backbone=WRN-28-102022.06 | 77.3 | 86.34 | — | — | — | |
| LaplacianShotTransductive=true, Backbone=WRN-28-102022.06 | 74.9 | 84.1 | — | — | — | |
| Simple + POODLETransductive=true, Backbone=WRN-28-102022.06 | 71.49 | 83.48 | — | — | — | |
| BD-CSPNNetwork=WRN, Protocol=Transductive2022.04 | 70.4 | 82.3 | 84.5 | 85.7 | — | |
| BD-CSPNTransductive=true, Backbone=WRN-28-102022.06 | 70.3 | 81.9 | — | — | — | |
| SIBTransductive=true, Backbone=WRN-28-102022.06 | 70 | 79.2 | — | — | — | |
| TIMNetwork=WRN, Protocol=Transductive2022.04 | 69.8 | 81.6 | 84.2 | 85.9 | — | |
| alpha-TIMNetwork=WRN, Protocol=Transductive2022.04 | 69.8 | 84.8 | 87.9 | 89.7 | — | |
| Rot + KD + POODLETransductive=false, Backbone=WRN-28-102022.06 | 69.67 | 84.84 | — | — | — | |
| LaplacianShotNetwork=WRN, Protocol=Transductive2022.04 | 68.1 | 83.2 | 85.9 | 87.2 | — | |
| alpha-TIMNetwork=RN-18, Protocol=Transductive2022.04 | 67.4 | 82.5 | 85.9 | 87.9 | — | |
| TIMNetwork=RN-18, Protocol=Transductive2022.04 | 67.3 | 79.8 | 82.3 | 84.2 | — | |
| Rot + KDTransductive=false, Backbone=WRN-28-102022.06 | 67.12 | 84.15 | — | — | — | |
| BD-CSPNNetwork=RN-18, Protocol=Transductive2022.04 | 67 | 80.2 | 82.9 | 84.6 | — | |
| SimpleshotNetwork=WRN, Protocol=Inductive2022.04 | 66.2 | 82.4 | 85.6 | 87.4 | — | |
| Ent-minTransductive=true, Backbone=WRN-28-102022.06 | 65.7 | 78.4 | — | — | — | |
| LaplacianShotNetwork=RN-18, Protocol=Transductive2022.04 | 65.4 | 81.6 | 84.1 | 86 | — | |
| FEATTransductive=false, Backbone=WRN-28-102022.06 | 65.1 | 81.1 | — | — | — | |
| Simple + POODLETransductive=false, Backbone=WRN-28-102022.06 | 64.94 | 81.88 | — | — | — | |
| SIBNetwork=WRN, Protocol=Transductive2022.04 | 64.7 | 72.5 | 73.6 | 74.2 | — | |
| Baseline++Network=WRN, Protocol=Inductive2022.04 | 64.5 | 82.1 | 85.7 | 87.9 | — | |
| MatchNetTransductive=false, Backbone=WRN-28-102022.06 | 64 | 76.3 | — | — | — | |
| CC+rot+unlabeledTransductive=false, Backbone=WRN-28-102022.06 | 64 | 80.7 | — | — | — | |
| SimpleShotTransductive=false, Backbone=WRN-28-102022.06 | 63.5 | 80.3 | — | — | — | |
| AWGIMTransductive=true, Backbone=WRN-28-102022.06 | 63.1 | 78.4 | — | — | — | |
| SimpleshotNetwork=RN-18, Protocol=Inductive2022.04 | 63 | 80.1 | 84 | 86.1 | — | |
| BaselineNetwork=WRN, Protocol=Inductive2022.04 | 62.2 | 81.9 | 85.5 | 87.9 | — | |
| LEOTransductive=false, Backbone=WRN-28-102022.06 | 61.8 | 77.6 | — | — | — | |
| SimpleTransductive=false, Backbone=WRN-28-102022.06 | 61.23 | 81.08 | — | — | — | |
| PT-MAPNetwork=WRN, Protocol=Transductive2022.04 | 60.6 | 66.8 | 68.5 | 69.9 | — | |
| Baseline++Network=RN-18, Protocol=Inductive2022.04 | 60.4 | 79.7 | 83.8 | 86.3 | — | |
| Entropy-minNetwork=WRN, Protocol=Transductive2022.04 | 60.4 | 76.2 | — | — | — | |
| PT-MAPNetwork=RN-18, Protocol=Transductive2022.04 | 60.1 | 67.1 | 68.8 | 70.4 | — | |
| LR+ICINetwork=RN-18, Protocol=Transductive2022.04 | 58.7 | 73.5 | 78.4 | 82.1 | — | |
| Entropy-minNetwork=RN-18, Protocol=Transductive2022.04 | 58.5 | 74.8 | 77.2 | 79.3 | — | |
| BaselineNetwork=RN-18, Protocol=Inductive2022.04 | 56 | 78.9 | 83.2 | 85.9 | — | |
| ProtonetNetwork=RN-18, Protocol=Inductive2022.04 | 53.4 | 74.2 | 79.2 | 82.4 | — | |
| VersaNetwork=RN-18, Protocol=Transductive2022.04 | 47.8 | 61.9 | 65.6 | 67.3 | — | |
| MAMLNetwork=RN-18, Protocol=Transductive2022.04 | 47.6 | 64.5 | 66.2 | 67.2 | — | |
| ANILBackbone=Conv4, Shot=1-shot2022.10 | — | — | — | — | 47.71 | |
| ANILBackbone=Conv4, Shot=5-shot2022.10 | — | — | — | — | 63.13 | |
| ANILBackbone=ResNet-12, Shot=1-shot2022.10 | — | — | — | — | 51.8 | |
| ANILBackbone=ResNet-12, Shot=5-shot2022.10 | — | — | — | — | 68.38 | |
| ANIL + SiMTBackbone=Conv4, Shot=1-shot2022.10 | — | — | — | — | 50.81 | |
| ANIL + SiMTBackbone=Conv4, Shot=5-shot2022.10 | — | — | — | — | 67.99 | |
| ANIL + SiMTBackbone=ResNet-12, Shot=1-shot2022.10 | — | — | — | — | 54.44 | |
| ANIL + SiMTBackbone=ResNet-12, Shot=5-shot2022.10 | — | — | — | — | 69.98 | |
| MAMLBackbone=Conv4, Shot=1-shot2022.10 | — | — | — | — | 47.33 | |
| MAMLBackbone=Conv4, Shot=5-shot2022.10 | — | — | — | — | 63.27 | |
| MAMLBackbone=ResNet-12, Shot=1-shot2022.10 | — | — | — | — | 52.66 | |
| MAMLBackbone=ResNet-12, Shot=5-shot2022.10 | — | — | — | — | 68.69 | |
| MAML + SiMTBackbone=Conv4, Shot=1-shot2022.10 | — | — | — | — | 51.49 | |
| MAML + SiMTBackbone=Conv4, Shot=5-shot2022.10 | — | — | — | — | 68.74 | |
| MAML + SiMTBackbone=ResNet-12, Shot=1-shot2022.10 | — | — | — | — | 56.28 | |
| MAML + SiMTBackbone=ResNet-12, Shot=5-shot2022.10 | — | — | — | — | 72.01 | |
| MetaSGDBackbone=Conv4, Shot=1-shot2022.10 | — | — | — | — | 50.66 | |
| MetaSGDBackbone=Conv4, Shot=5-shot2022.10 | — | — | — | — | 65.55 | |
| MetaSGDBackbone=ResNet-12, Shot=1-shot2022.10 | — | — | — | — | 54.95 | |
| MetaSGDBackbone=ResNet-12, Shot=5-shot2022.10 | — | — | — | — | 70.65 | |
| MetaSGD + SiMTBackbone=Conv4, Shot=1-shot2022.10 | — | — | — | — | 51.7 | |
| MetaSGD + SiMTBackbone=Conv4, Shot=5-shot2022.10 | — | — | — | — | 69.13 | |
| MetaSGD + SiMTBackbone=ResNet-12, Shot=1-shot2022.10 | — | — | — | — | 55.72 | |
| MetaSGD + SiMTBackbone=ResNet-12, Shot=5-shot2022.10 | — | — | — | — | 74.01 | |
| ProtoNetBackbone=Conv4, Shot=1-shot2022.10 | — | — | — | — | 47.97 | |
| ProtoNetBackbone=Conv4, Shot=5-shot2022.10 | — | — | — | — | 65.16 | |
| ProtoNetBackbone=ResNet-12, Shot=1-shot2022.10 | — | — | — | — | 52.84 | |
| ProtoNetBackbone=ResNet-12, Shot=5-shot2022.10 | — | — | — | — | 68.35 | |
| ProtoNet + SiMTBackbone=Conv4, Shot=1-shot2022.10 | — | — | — | — | 51.25 | |
| ProtoNet + SiMTBackbone=Conv4, Shot=5-shot2022.10 | — | — | — | — | 68.71 | |
| ProtoNet + SiMTBackbone=ResNet-12, Shot=1-shot2022.10 | — | — | — | — | 55.84 | |
| ProtoNet + SiMTBackbone=ResNet-12, Shot=5-shot2022.10 | — | — | — | — | 72.45 |