Few-shot classification on Cars
75.15AccuracySupervised
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SupervisedBackbone=ResNet-50, Evaluation protocol=5-way 5-shot2023.03 | 75.15 | — | — | |
| PsCoway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 57.5 | — | — | |
| PsCoBackbone=ResNet-50, Base Method=BYOL, Evaluation protocol=5-way 5-shot2023.03 | 56.19 | — | — | |
| PsCoBackbone=ResNet-50, Base Method=MoCo v2, Evaluation protocol=5-way 5-shot2023.03 | 53.45 | — | — | |
| MoCo v2way=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 51.77 | — | — | |
| PsCoBackbone=ResNet-18, Base Method=MoCo v2, Evaluation protocol=5-way 5-shot2023.03 | 50.73 | — | — | |
| SimCLRway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 50.05 | — | — | |
| SWAVway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 50.03 | — | — | |
| MAMLway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 48.82 | — | — | |
| ProtoNetsway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 47.98 | — | — | |
| MoCo v2Backbone=ResNet-50, Evaluation protocol=5-way 5-shot2023.03 | 47.67 | — | — | |
| MoCo v2Backbone=ResNet-18, Evaluation protocol=5-way 5-shot2023.03 | 46.42 | — | — | |
| Meta-SVEBMway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 46.23 | — | — | |
| MetaOptNet-SVM-trainvalBackbone=ResNet-12, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 45.9 | — | — | |
| BYOLBackbone=ResNet-50, Evaluation protocol=5-way 5-shot2023.03 | 45.74 | — | — | |
| GNN (FT)Backbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=true2020.01 | 44.9 | — | — | |
| GNNBackbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 44.28 | — | — | |
| PsCoway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 44.01 | — | — | |
| MatchingNet (FT)Backbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=true2020.01 | 41.24 | — | — | |
| MAMLway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 41.17 | — | — | |
| RelationNet (FT)Backbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=true2020.01 | 39.91 | — | — | |
| MatchingNetBackbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 38.99 | — | — | |
| ProtoNetsway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 38.98 | — | — | |
| MoCo v2way=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 38.65 | — | — | |
| Meta-GMVAEway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 38.36 | — | — | |
| SimCLRway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 37.4 | — | — | |
| RelationNetBackbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 37.33 | — | — | |
| SWAVway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 36.85 | — | — | |
| Meta-SVEBMway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 34.27 | — | — | |
| Meta-GMVAEway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 31.39 | — | — | |
| GNNTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 31.72 | 43.7 | |
| GNN + ATATraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 33.61 | 49.14 | |
| GNN + FTTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 32.25 | 46.19 | |
| GNN + LRPTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 31.46 | 46.07 | |
| RelationNetTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 30.09 | 40.46 | |
| RelationNet + ATATraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 31.79 | 42.95 | |
| RelationNet + FTTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 30.45 | 40.18 | |
| RelationNet + LRPTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 30.48 | 41.21 | |
| TPNTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 32.42 | 44.54 | |
| TPN + ATATraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 34.18 | 46.95 | |
| TPN + FTTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 26.5 | 34.03 |