Image Classification on MetaDataset v2
76.1Accuracy (All)UpperCaSE
Evaluation results
| Method | Links | |
|---|---|---|
| UpperCaSEProtocol=hybrid, Net=EfficientNet-B0, Img Size=224, Param. (M)=4.0, Adaptive Param Count (M)=0.42022.06 | 76.1 | |
| UpperCaSEProtocol=hybrid, Net=ResNet-50, Img Size=224, Param. (M)=23.5, Adaptive Param Count (M)=0.82022.06 | 74.9 | |
| LITEProtocol=meta-learning, Net=EfficientNet-B0, Img Size=224, Param. (M)=4.0, Adaptive Param Count (M)=1.72022.06 | 73.8 | |
| ProtoNetProtocol=meta-learning, Net=EfficientNet-B0, Img Size=224, Param. (M)=4.02022.06 | 72.7 | |
| CTXProtocol=meta-learning, Net=ResNet-34, Img Size=224, Param. (M)=21.32022.06 | 71.6 | |
| ProtoMAMLProtocol=hybrid, Net=ResNet-18, Img Size=126, Param. (M)=11.22022.06 | 64.2 |