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ResearchFormerly WizWand

Image Classification on Visual Decathlon Aircraft held-out target

20.94AccuracyFeature-Critic
11.080813.640416.218.7596Jan 31, 2019
Updated 8mo ago

Evaluation results

MethodLinks
Feature-CriticClassifier=SVM, Backbone=ResNet-182019.0120.94
MetaRegClassifier=SVM, Backbone=ResNet-182019.0120.91
CrossGradClassifier=SVM, Backbone=ResNet-182019.0119.92
ReptileClassifier=SVM, Backbone=ResNet-182019.0119.62
Data AggregationClassifier=SVM, Backbone=ResNet-182019.0119.56
MetaReg-FLClassifier=SVM, Backbone=ResNet-182019.0118.18
ImageNet Pre-trainedClassifier=SVM, Backbone=ResNet-182019.0116.62
Feature-CriticClassifier=KNN, Backbone=ResNet-182019.0116.01
CrossGradClassifier=KNN, Backbone=ResNet-182019.0115.93
Data AggregationClassifier=KNN, Backbone=ResNet-182019.0114.03
ReptileClassifier=KNN, Backbone=ResNet-182019.0113.27
MetaRegClassifier=KNN, Backbone=ResNet-182019.0112.03
ImageNet Pre-trainedClassifier=KNN, Backbone=ResNet-182019.0111.46
MetaReg-FLClassifier=KNN, Backbone=ResNet-182019.0111.46