Few-shot Classification on CUB200 (5-way 5-shot configuration)
95.19AccuracyOur Method (Improved EM)
Evaluation Results
| Method | Links | |
|---|---|---|
| Our Method (Improved EM)Setting=Transductive2021.08 | 95.19 | |
| Our Method (EM)Setting=Transductive2021.08 | 95.08 | |
| Conference VersionSetting=Transductive2021.08 | 94.9 | |
| Our MethodSetting=Inductive2021.08 | 94.05 | |
| ICISetting=Transductive2021.08 | 92.38 | |
| EPNetSetting=Transductive2021.08 | 91.32 | |
| TIM-GDSetting=Transductive2021.08 | 90.8 | |
| RAP-LaplacianShotSetting=Transductive2021.08 | 90.77 | |
| BD-CSPNSetting=Transductive2021.08 | 90.22 | |
| DCSetting=Inductive2021.08 | 89.58 | |
| Neg-CosineSetting=Inductive2021.08 | 89.4 | |
| CPDESetting=Inductive2021.08 | 89.28 | |
| LaplacianShotSetting=Transductive2021.08 | 88.68 | |
| CentAlignSetting=Inductive2021.08 | 88.65 | |
| RAP-ProtoNetSetting=Inductive2021.08 | 88.29 | |
| CFASetting=Inductive2021.08 | 86.8 | |
| MultiSemSetting=Inductive2021.08 | 82.9 | |
| MAMLSetting=Inductive2021.08 | 72.09 | |
| SimSiam + AugSelfBackbone=ResNet-50, Pre-training Dataset=ImageNet1002021.11 | 66.27 | |
| Supervised + AugSelfBackbone=ResNet-50, Pre-training Dataset=ImageNet1002021.11 | 65.31 | |
| SupervisedBackbone=ResNet-50, Pre-training Dataset=ImageNet1002021.11 | 63.69 | |
| SimSiamBackbone=ResNet-50, Pre-training Dataset=ImageNet1002021.11 | 62.48 | |
| MoCo v2 + AugSelfBackbone=ResNet-50, Pre-training Dataset=ImageNet1002021.11 | 57.35 | |
| MoCo v2Backbone=ResNet-50, Pre-training Dataset=ImageNet1002021.11 | 56.92 | |
| SimSiam + AugSelfBackbone=ResNet-18, Pre-training Dataset=STL102021.11 | 56.33 | |
| MoCo v2 + AugSelfBackbone=ResNet-18, Pre-training Dataset=STL102021.11 | 51.93 | |
| MoCo v2Backbone=ResNet-18, Pre-training Dataset=STL102021.11 | 50.71 | |
| SimSiamBackbone=ResNet-18, Pre-training Dataset=STL102021.11 | 50.61 |