Two Stream Active Query Suggestion for Active Learning in Connectomics

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. H...

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Detalhes bibliográficos
Publicado no:Comput Vis ECCV
Main Authors: Lin, Zudi, Wei, Donglai, Jang, Won-Dong, Zhou, Siyan, Chen, Xupeng, Wang, Xueying, Schalek, Richard, Berger, Daniel, Matejek, Brian, Kamentsky, Lee, Peleg, Adi, Haehn, Daniel, Jones, Thouis, Parag, Toufiq, Lichtman, Jeff, Pfister, Hanspeter
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7746018/
https://ncbi.nlm.nih.gov/pubmed/33345257
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-58523-5_7
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