5-way Image Classification on MiniImagenet
65.1One-shot AccuracyFEAT
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FEATNetwork=WRN2019.11 | 65.1 | — | 81.11 | — | — | |
| SimpleShot (CL2N)Network=DenseNet2019.11 | 64.29 | — | 81.5 | — | — | |
| METAOPTNETArchitecture=Non-standard CNN2019.07 | 64.09 | — | 80 | — | — | |
| MatchingNetNetwork=WRN2019.11 | 64.03 | — | 76.32 | — | — | |
| SimpleShot (CL2N)Network=WRN2019.11 | 63.5 | — | 80.33 | — | — | |
| SimpleShot (CL2N)Network=ResNet-182019.11 | 62.85 | — | 80.02 | — | — | |
| ProtoNetNetwork=WRN2019.11 | 62.6 | — | 79.97 | — | — | |
| VAMPIREArchitecture=Non-standard CNN2019.07 | 62.16 | — | 76.72 | — | — | |
| LEONetwork=WRN2019.11 | 61.76 | — | 77.59 | — | — | |
| LEOArchitecture=Non-standard CNN2019.07 | 61.76 | — | 77.59 | — | — | |
| SimpleShot (L2N)Network=DenseNet2019.11 | 61.49 | — | 81.48 | — | — | |
| SimpleShot (CL2N)Network=MobileNet2019.11 | 61.3 | — | 78.37 | — | — | |
| SimpleShot (L2N)Network=WRN2019.11 | 61.22 | — | 81 | — | — | |
| SimpleShot (CL2N)Network=ResNet-102019.11 | 60.85 | — | 78.4 | — | — | |
| SimpleShot (L2N)Network=ResNet-182019.11 | 60.16 | — | 79.94 | — | — | |
| Qiao et al.Network=WRN2019.11 | 59.6 | — | 73.74 | — | — | |
| SimpleShot (L2N)Network=MobileNet2019.11 | 59.43 | — | 78 | — | — | |
| CAMLNetwork=ResNet-122019.11 | 59.23 | — | 72.35 | — | — | |
| TADAMNetwork=ResNet-152019.11 | 58.5 | — | 76.7 | — | — | |
| TADAMArchitecture=Non-standard CNN2019.07 | 58.5 | — | 76.7 | — | — | |
| HMSBackbone=ResNet, Trials=10,0002020.11 | 58.2 | — | 75.77 | 82.69 | 84.41 | |
| SimpleShot (L2N)Network=ResNet-102019.11 | 57.85 | — | 78.73 | — | — | |
| SimpleShot (UN)Network=DenseNet2019.11 | 57.81 | — | 80.43 | — | — | |
| SimCLRBackbone=ResNet, Trials=10,0002020.11 | 57.73 | — | 72.84 | 78.45 | 79.75 | |
| MoCHiBackbone=ResNet, Trials=10,0002020.11 | 57.64 | — | 75.53 | 82.91 | 84.76 | |
| SimpleShot (UN)Network=WRN2019.11 | 57.26 | — | 78.99 | — | — | |
| CACTUSBackbone=ResNet, Trials=10,000, SES+SNS=true2020.11 | 57.25 | — | 71.49 | 76.27 | 77.59 | |
| TSP-HeadBackbone=ResNet, Trials=10,0002020.11 | 56.99 | — | 75.89 | 83.77 | 85.72 | |
| adaCNNNetwork=ResNet-152019.11 | 56.88 | — | 71.94 | — | — | |
| ADARESNETArchitecture=Non-standard CNN2019.07 | 56.88 | — | 71.94 | — | — | |
| BaselineBackbone=ResNet, Trials=10,0002020.11 | 56.74 | — | 74.05 | 81.24 | 83.04 | |
| Bauer et al.Network=ResNet-342019.11 | 56.3 | — | 73.9 | — | — | |
| SimpleShot (UN)Network=ResNet-182019.11 | 56.06 | — | 78.63 | — | — | |
| SNAILNetwork=ResNet-152019.11 | 55.71 | — | 68.88 | — | — | |
| SNAILArchitecture=Non-standard CNN2019.07 | 55.71 | — | 68.88 | — | — | |
| SimpleShot (UN)Network=MobileNet2019.11 | 55.7 | — | 77.46 | — | — | |
| CACTUSBackbone=ResNet, Trials=10,0002020.11 | 55.62 | — | 69.5 | 74.67 | 75.68 | |
| Gidaris et al.Network=ResNet-152019.11 | 55.45 | — | 70.13 | — | — | |
| FEATNetwork=Conv-42019.11 | 55.15 | — | 71.61 | — | — | |
| CUMCABackbone=ResNet, Trials=10,000, SES+SNS=true2020.11 | 54.95 | — | 71.85 | 79.06 | 80.98 | |
| MoCo-v2Backbone=ResNet, Trials=10,0002020.11 | 54.92 | — | 71.18 | 77.64 | 79.3 | |
| Qiao et al.Network=Conv-42019.11 | 54.53 | — | 67.87 | — | — | |
| SimpleShot (UN)Network=ResNet-102019.11 | 54.45 | — | 76.98 | — | — | |
| ProtoNetNetwork=ResNet-182019.11 | 54.16 | — | 73.68 | — | — | |
| VERSAArchitecture=Non-standard CNN2019.07 | 53.4 | — | 67.37 | — | — | |
| MatchingNetNetwork=ResNet-182019.11 | 52.91 | — | 68.88 | — | — | |
| RelationNetNetwork=ResNet-182019.11 | 52.48 | — | 69.83 | — | — | |
| Chen et al.Network=ResNet-182019.11 | 51.87 | — | 75.68 | — | — | |
| MTNetNetwork=Conv-42019.11 | 51.7 | — | — | — | — | |
| CUMCABackbone=ResNet, Trials=10,0002020.11 | 51.66 | — | 67.15 | 75.5 | 76.71 | |
| Meta SGDNetwork=Conv-42019.11 | 50.47 | — | 64.03 | — | — | |
| RelationNetNetwork=Conv-42019.11 | 50.44 | — | 65.32 | — | — | |
| RELATION NETSArchitecture=Non-standard CNN2019.07 | 50.44 | — | 65.32 | — | — | |
| GNNNetwork=Conv-42019.11 | 50.33 | — | 66.41 | — | — | |
| mAP-SSVMNetwork=Conv-42019.11 | 50.32 | — | 63.94 | — | — | |
| PLATIPUSNetwork=Conv-42019.11 | 50.13 | — | — | — | — | |
| ReptileNetwork=Conv-42019.11 | 49.97 | — | 65.99 | — | — | |
| SimpleShot (CL2N)Network=Conv-42019.11 | 49.69 | — | 66.92 | — | — | |
| MAMLNetwork=ResNet-182019.11 | 49.61 | — | 65.72 | — | — | |
| ProtoNetNetwork=Conv-42019.11 | 49.42 | — | 68.2 | — | — | |
| LLAMANetwork=Conv-42019.11 | 49.4 | — | — | — | — | |
| MAMLNetwork=Conv-42019.11 | 48.7 | — | 63.11 | — | — | |
| VanillaBackbone=ResNet, Trials=10,0002020.11 | 48.52 | — | 65.77 | 73.98 | 76.2 | |
| SimpleShot (L2N)Network=Conv-42019.11 | 48.08 | — | 66.49 | — | — | |
| MatchingNetNetwork=Conv-42019.11 | 43.56 | — | 55.31 | — | — | |
| Meta LSTMNetwork=Conv-42019.11 | 43.44 | — | 60.6 | — | — | |
| SimpleShot (UN)Network=Conv-42019.11 | 33.17 | — | 63.25 | — | — | |
| ABMLShot=1-shot, Network Architecture=standard 4-block CNN2020.03 | — | 45 | — | — | — | |
| adaResNetShot=1-shot, Network Architecture=non-standard network2020.03 | — | 56.88 | — | — | — | |
| adaResNetShot=5-shot, Network Architecture=non-standard network2020.03 | — | 71.94 | — | — | — | |
| LEOShot=1-shot, Network Architecture=non-standard network2020.03 | — | 61.76 | — | — | — | |
| LEOShot=5-shot, Network Architecture=non-standard network2020.03 | — | 77.59 | — | — | — | |
| LGM-NetShot=1-shot, Network Architecture=non-standard network2020.03 | — | 69.13 | — | — | — | |
| LGM-NetShot=5-shot, Network Architecture=non-standard network2020.03 | — | 71.18 | — | — | — | |
| LLAMAShot=1-shot, Network Architecture=standard 4-block CNN2020.03 | — | 49.4 | — | — | — | |
| MAMLShots=1-shot2017.07 | — | 48.7 | — | — | — | |
| MAMLShots=5-shot2017.07 | — | 63.11 | — | — | — | |
| MAMLShot=1-shot, Network Architecture=standard 4-block CNN2020.03 | — | 48.7 | — | — | — | |
| MAMLShot=5-shot, Network Architecture=standard 4-block CNN2020.03 | — | 63.15 | — | — | — | |
| Matching netsShot=1-shot, Network Architecture=standard 4-block CNN2020.03 | — | 43.56 | — | — | — | |
| Matching netsShot=5-shot, Network Architecture=standard 4-block CNN2020.03 | — | 55.31 | — | — | — | |
| Matching NetsShots=1-shot2017.07 | — | 43.56 | — | — | — | |
| Matching NetsShots=5-shot2017.07 | — | 55.31 | — | — | — | |
| Meta-learner LSTMShot=1-shot, Network Architecture=standard 4-block CNN2020.03 | — | 43.44 | — | — | — | |
| Meta-learner LSTMShot=5-shot, Network Architecture=standard 4-block CNN2020.03 | — | 60.6 | — | — | — | |
| Meta-LSTMShots=1-shot2017.07 | — | 43.44 | — | — | — | |
| Meta-LSTMShots=5-shot2017.07 | — | 60.6 | — | — | — | |
| Meta-SGDShots=1-shot2017.07 | — | 50.47 | — | — | — | |
| Meta-SGDShots=5-shot2017.07 | — | 64.03 | — | — | — | |
| PLATIPUSShot=1-shot, Network Architecture=standard 4-block CNN2020.03 | — | 50.13 | — | — | — | |
| Prototypical netsShot=1-shot, Network Architecture=standard 4-block CNN, Training Way=30-way2020.03 | — | 49.42 | — | — | — | |
| Prototypical netsShot=5-shot, Network Architecture=standard 4-block CNN, Training Way=30-way2020.03 | — | 68.2 | — | — | — | |
| Relation netsShot=1-shot, Network Architecture=non-standard network2020.03 | — | 50.44 | — | — | — | |
| Relation netsShot=5-shot, Network Architecture=non-standard network2020.03 | — | 65.32 | — | — | — | |
| SImPaShot=1-shot, Network Architecture=standard 4-block CNN2020.03 | — | 51.72 | — | — | — | |
| SImPaShot=5-shot, Network Architecture=standard 4-block CNN2020.03 | — | 63.49 | — | — | — | |
| SImPaShot=1-shot, Network Architecture=non-standard network, Input Features=extracted features [15]2020.03 | — | 62.85 | — | — | — | |
| SImPaShot=5-shot, Network Architecture=non-standard network, Input Features=extracted features [15]2020.03 | — | 77.65 | — | — | — | |
| SNAILShot=1-shot, Network Architecture=non-standard network2020.03 | — | 55.71 | — | — | — | |
| SNAILShot=5-shot, Network Architecture=non-standard network2020.03 | — | 68.88 | — | — | — |