Few-shot classification on Plantae
72.91AccuracySupervised
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SupervisedBackbone=ResNet-50, Evaluation protocol=5-way 5-shot2023.03 | 72.91 | — | — | |
| PsCoBackbone=ResNet-50, Base Method=BYOL, Evaluation protocol=5-way 5-shot2023.03 | 71.14 | — | — | |
| PsCoBackbone=ResNet-50, Base Method=MoCo v2, Evaluation protocol=5-way 5-shot2023.03 | 69.17 | — | — | |
| PsCoway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 64.53 | — | — | |
| PsCoBackbone=ResNet-18, Base Method=MoCo v2, Evaluation protocol=5-way 5-shot2023.03 | 61.55 | — | — | |
| MoCo v2Backbone=ResNet-50, Evaluation protocol=5-way 5-shot2023.03 | 61.36 | — | — | |
| BYOLBackbone=ResNet-50, Evaluation protocol=5-way 5-shot2023.03 | 56.86 | — | — | |
| MoCo v2Backbone=ResNet-18, Evaluation protocol=5-way 5-shot2023.03 | 56.24 | — | — | |
| MoCo v2way=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 55.45 | — | — | |
| SimCLRway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 54.92 | — | — | |
| MAMLway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 54.86 | — | — | |
| ProtoNetsway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 54.29 | — | — | |
| SWAVway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 54.03 | — | — | |
| GNN (FT)Backbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=true2020.01 | 53.85 | — | — | |
| PsCoway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 52.72 | — | — | |
| GNNBackbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 52.53 | — | — | |
| MAMLway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 47.33 | — | — | |
| MatchingNetBackbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 46.53 | — | — | |
| MetaOptNet-SVM-trainvalBackbone=ResNet-12, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 46.48 | — | — | |
| Meta-SVEBMway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 46.22 | — | — | |
| ProtoNetsway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 45.89 | — | — | |
| RelationNet (FT)Backbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=true2020.01 | 45.08 | — | — | |
| Meta-GMVAEway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 45.02 | — | — | |
| RelationNetBackbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 44 | — | — | |
| MoCo v2way=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 43.97 | — | — | |
| SimCLRway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 43.42 | — | — | |
| SWAVway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 42.68 | — | — | |
| MatchingNet (FT)Backbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=true2020.01 | 41.69 | — | — | |
| Meta-GMVAEway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 38.27 | — | — | |
| Meta-SVEBMway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 38.12 | — | — | |
| GNNTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 33.6 | 48.51 | |
| GNN + ATATraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 34.42 | 52.69 | |
| GNN + FTTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 32.56 | 49.66 | |
| GNN + LRPTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 33.2 | 50.31 | |
| RelationNetTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 31.23 | 42.71 | |
| RelationNet + ATATraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 33.72 | 45.32 | |
| RelationNet + FTTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 32.57 | 44.29 | |
| RelationNet + LRPTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 32.11 | 43.7 | |
| TPNTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 37.4 | 50.96 | |
| TPN + ATATraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 39.83 | 55.08 | |
| TPN + FTTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 32.46 | 43.2 |