Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks

Volume: 33, Issue: 9, Pages: 4648 - 4660
Published: Sep 1, 2022
Abstract
Image retrieval is a challenging problem that requires learning generalized features enough to identify untrained classes, even with very few classwise training samples. In this article, to obtain generalized features further in learning retrieval data sets, we propose a novel fine-tuning method of pretrained deep networks. In the retrieval task, we discovered a phenomenon in which the loss reduction in fine-tuning deep networks is stagnated,...
Paper Details
Title
Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks
Published Date
Sep 1, 2022
Journal
Volume
33
Issue
9
Pages
4648 - 4660
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