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ResearchFormerly WizWand

Image Classification on Visual Decathlon D. Textures held-out target

41.7AccuracyImageNet Pre-trained
27.379231.097134.81538.5329Jan 31, 2019
Updated 8mo ago

Evaluation results

MethodLinks
ImageNet Pre-trainedClassifier=SVM, Backbone=ResNet-182019.0141.7
MetaRegClassifier=KNN, Backbone=ResNet-182019.0139.41
Feature-CriticClassifier=SVM, Backbone=ResNet-182019.0138.88
ReptileClassifier=SVM, Backbone=ResNet-182019.0137.39
Feature-CriticClassifier=KNN, Backbone=ResNet-182019.0137.01
CrossGradClassifier=SVM, Backbone=ResNet-182019.0136.54
Data AggregationClassifier=SVM, Backbone=ResNet-182019.0136.49
MetaReg-FLClassifier=SVM, Backbone=ResNet-182019.0135.69
Data AggregationClassifier=KNN, Backbone=ResNet-182019.0134.92
MetaReg-FLClassifier=KNN, Backbone=ResNet-182019.0132.8
MetaRegClassifier=SVM, Backbone=ResNet-182019.0132.34
ReptileClassifier=KNN, Backbone=ResNet-182019.0132.02
ImageNet Pre-trainedClassifier=KNN, Backbone=ResNet-182019.0131.98
CrossGradClassifier=KNN, Backbone=ResNet-182019.0127.93