Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks. (arXiv:2108.11845v3 [cs.CV] UPDATED)

This letter is concerned with image classification with deep convolutional
neural networks (CNNs). The focus is on the following question: given a set of
candidate CNN models, how to select the right one with the best generalization
property for the current task? Present model selection methods require access
to a batch of labeled data for computing a pre-specified performance metric,
such as the cross-entropy loss, the classification error rate, the negative
log-likelihood. In many practical cases, labels are not available …

arxiv confidence convolutional neural networks cv networks neural networks