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Image Classification on ImageNet (test) (Accuracy and GPU Savings)

75.92Top-1 AccKnee schedule
75.337675.488875.6475.7912Mar 9, 2020

Evaluation results

MethodLinks
Knee scheduleBudget=50 epochs, Backbone=ResNet-502020.0375.9227
Linear DecayBudget=50 epochs, Backbone=ResNet-502020.0375.82—
Cosine DecayBudget=50 epochs, Backbone=ResNet-502020.0375.71—
One-CycleBudget=50 epochs, Backbone=ResNet-502020.0375.36—