Image Classification on Visual Decathlon Aircraft held-out target
20.94AccuracyFeature-Critic
Evaluation Results
| Method | Links | |
|---|---|---|
| Feature-CriticClassifier=SVM, Backbone=ResNet-182019.01 | 20.94 | |
| MetaRegClassifier=SVM, Backbone=ResNet-182019.01 | 20.91 | |
| CrossGradClassifier=SVM, Backbone=ResNet-182019.01 | 19.92 | |
| ReptileClassifier=SVM, Backbone=ResNet-182019.01 | 19.62 | |
| Data AggregationClassifier=SVM, Backbone=ResNet-182019.01 | 19.56 | |
| MetaReg-FLClassifier=SVM, Backbone=ResNet-182019.01 | 18.18 | |
| ImageNet Pre-trainedClassifier=SVM, Backbone=ResNet-182019.01 | 16.62 | |
| Feature-CriticClassifier=KNN, Backbone=ResNet-182019.01 | 16.01 | |
| CrossGradClassifier=KNN, Backbone=ResNet-182019.01 | 15.93 | |
| Data AggregationClassifier=KNN, Backbone=ResNet-182019.01 | 14.03 | |
| ReptileClassifier=KNN, Backbone=ResNet-182019.01 | 13.27 | |
| MetaRegClassifier=KNN, Backbone=ResNet-182019.01 | 12.03 | |
| ImageNet Pre-trainedClassifier=KNN, Backbone=ResNet-182019.01 | 11.46 | |
| MetaReg-FLClassifier=KNN, Backbone=ResNet-182019.01 | 11.46 |