Few-Shot Classification on VGG Flower Meta-Dataset (test)
93.4Mean AccuracyTSP
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TSPBackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain, Base method=TA2-Net2024.12 | 93.4 | — | — | — | — | |
| TSPBackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain, Base method=TSA2024.12 | 93.3 | — | — | — | — | |
| TA2-NetBackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain2024.12 | 92.6 | — | — | — | — | |
| MOKDBackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain2024.12 | 92.5 | — | — | — | — | |
| TSABackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain2024.12 | 92.2 | — | — | — | — | |
| URLBackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain2024.12 | 92 | — | — | — | — | |
| tri-MBackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain2024.12 | 91.6 | — | — | — | — | |
| FLUTEBackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain2024.12 | 90.5 | — | — | — | — | |
| URTBackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain2024.12 | 87.9 | — | — | — | — | |
| SURBackbone=ResNet-18, Evaluation protocol=Meta-Dataset, Setting=Multi-domain2024.12 | 82.9 | — | — | — | — | |
| AVERAGE2023.11 | — | 24.52 | 24.52 | 32.78 | 32.78 | |
| DFL2L2023.11 | — | 40.02 | 38.98 | 50.22 | 49.13 | |
| PURER-ANILBase Learner=ANIL2023.11 | — | 51.34 | 45.02 | 67.26 | 62.54 | |
| PURER-ProtoNetBase Learner=ProtoNet2023.11 | — | 53.9 | 47.12 | 68.01 | 64.51 | |
| RANDOM2023.11 | — | 38.39 | 38.39 | 48.18 | 48.18 | |
| TDFML-ANILBase Learner=ANIL2023.11 | — | 55.28 | 54.86 | 69.03 | 68.52 | |
| TDFML-ProtoNetBase Learner=ProtoNet2023.11 | — | 57.31 | 56.79 | 71.12 | 70.6 | |
| TDFML-ProtoNet (+mixup)Base Learner=ProtoNet, Augmentation=mixup2023.11 | — | 58.23 | 57.56 | 72.22 | 71.57 |