Ontology highlight
ABSTRACT:
SUBMITTER: Lin Z
PROVIDER: S-EPMC7746018 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
Lin Zudi Z Wei Donglai D Jang Won-Dong WD Zhou Siyan S Chen Xupeng X Wang Xueying X Schalek Richard R Berger Daniel D Matejek Brian B Kamentsky Lee L Peleg Adi A Haehn Daniel D Jones Thouis T Parag Toufiq T Lichtman Jeff J Pfister Hanspeter H
Computer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision 20200801
For large-scale vision tasks in biomedical images, the labeled data is often limited to train effective deep models. Active learning is a common solution, where a query suggestion method selects representative unlabeled samples for annotation, and the new labels are used to improve the base model. However, most query suggestion models optimize their learnable parameters only on the limited labeled data and consequently become less effective for the more challenging unlabeled data. To tackle this ...[more]