5-way 1-shot classification on mini-ImageNet (test)
70.88AccuracyBaseTransformer
Evaluation Results
| Method | Links | |
|---|---|---|
| BaseTransformerBackbone=ResNet-122022.10 | 70.88 | |
| S2M2 + TCPRBackbone=WRN-28, 9-patch cropping=true2022.10 | 70.67 | |
| PALBackbone=ResNet-122022.10 | 69.37 | |
| PALBackbone=ResNet-122022.10 | 69.37 | |
| COSOCBackbone=ResNet-122022.10 | 69.28 | |
| Inv-Equ + TCPRBackbone=ResNet-122022.10 | 68.92 | |
| DeepEMDBackbone=ResNet-12, 9-patch cropping=true2022.10 | 68.77 | |
| DCBackbone=WRN-282022.10 | 68.57 | |
| S2M2 + TCPRBackbone=WRN-282022.10 | 68.05 | |
| S/TBackbone=ResNet-122022.10 | 68.03 | |
| POODLEBackbone=ResNet-122022.10 | 67.8 | |
| DMFBackbone=ResNet-122022.10 | 67.76 | |
| InfoPatchBackbone=ResNet-122022.10 | 67.67 | |
| CSEIBackbone=ResNet-122022.10 | 67.59 | |
| MELRBackbone=ResNet-122022.10 | 67.4 | |
| S2M2Backbone=WRN-28, 9-patch cropping=true2022.10 | 67.19 | |
| IEPTBackbone=ResNet-122022.10 | 67.05 | |
| FEATBackbone=ResNet-122022.10 | 66.78 | |
| METALBackbone=ResNet-122022.10 | 66.61 | |
| DeepEMDBackbone=ResNet-122022.10 | 65.91 | |
| DeepEMDBackbone=ResNet-122022.10 | 65.91 | |
| Inv-EquBackbone=ResNet-122022.10 | 65.57 | |
| ArLBackbone=ResNet-122022.10 | 65.21 | |
| META-QDABackbone=ResNet-122022.10 | 65.12 | |
| Baseline++ + TCPRBackbone=ResNet-122022.10 | 64.92 | |
| S2M2Backbone=WRN-282022.10 | 64.63 | |
| CANBackbone=ResNet-122022.10 | 63.85 | |
| SimpleShotBackbone=ResNet-122022.10 | 62.85 | |
| Baseline++Backbone=ResNet-122022.10 | 61.67 | |
| ProtoNetsBackbone=ResNet-122022.10 | 60.37 | |
| A-EncoderBackbone=ResNet-18, Size=224, Supervision=sup., Knowledge Distillation=false2022.07 | 59.9 | |
| BaseTransformerBackbone=Conv4-642022.10 | 59.37 | |
| Baseline++ + TCPRBackbone=ResNet-182022.10 | 58.67 | |
| META-QDABackbone=Conv4-642022.10 | 56.41 | |
| IEPTBackbone=Conv4-642022.10 | 56.26 | |
| MELRBackbone=Conv4-642022.10 | 55.35 | |
| FEATBackbone=Conv4-642022.10 | 55.15 | |
| Baseline++Backbone=ResNet-182022.10 | 54.23 | |
| ProtoNetBackbone=ResNet-182022.10 | 54.16 | |
| MatchingNetBackbone=ResNet-182022.10 | 52.91 | |
| SimpleShotBackbone=Conv4-642022.10 | 49.69 | |
| MAMLBackbone=ResNet-182022.10 | 49.61 | |
| ProtoNetsBackbone=Conv4-642022.10 | 49.42 |