Image Classification on Meta-Dataset v2 (test)
90.9Omniglot AccuracySimple CNAPs
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Simple CNAPsBackbone=EN-B0, Params (M)=4.0M, Image Size=842021.07 | 90.9 | 77.5 | 76.4 | 74.3 | 76.5 | 51.3 | 54.8 | 45.1 | 68.4 | |
| ProtoMAMLBackbone=RN-18, Params (M)=11.2M, Image Size=1262021.07 | 90.2 | 82.1 | 73.4 | 66.3 | 66.4 | 46.3 | 50.3 | 39 | 64.2 | |
| SURBackbone=RN-50 x 7, Params (M)=164.6M, Image Size=224, Linear classifier head=true2021.07 | 89.6 | 59.7 | 81.4 | 83.9 | 81.2 | 69.2 | 46.5 | 58.6 | 71.3 | |
| Simple CNAPs + LITEBackbone=EN-B0, Params (M)=4.0M, Image Size=2242021.07 | 86.5 | 83.6 | 88.6 | 84.1 | 75.7 | 56.9 | 65.8 | 50 | 73.9 | |
| ProtoNetsBackbone=RN-18, Params (M)=11.2M, Image Size=1262021.07 | 85.3 | 74.3 | 68 | 65.3 | 60.6 | 39.8 | 49.8 | 39.7 | 60.3 | |
| CTXBackbone=RN-34, Params (M)=21.3M, Image Size=2242021.07 | 84.6 | 85.3 | 72.9 | 77.3 | 73.3 | 48 | 80.1 | 51.4 | 71.6 | |
| MD-TransferBackbone=RN-18, Params (M)=11.2M, Image Size=1262021.07 | 82 | 76.8 | 61.2 | 66 | 61.3 | 35.5 | 84.7 | 39.6 | 63.4 | |
| BiTBackbone=RN-18, Params (M)=11.2M, Image Size=2242021.07 | 72.7 | 73.6 | 87.2 | 82.6 | 66.3 | 53.9 | 75.4 | 60 | 71.5 |