Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Weakly supervised instance labeling using only image-level labels, in lieu of expensive fine-grained pixel annotations, is crucial in several applications including medical image analysis. In contrast to conventional instance segmentation scenarios in computer vision, the problems that we consider are characterized by a small number of training ima...
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Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation
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TN_cdi_proquest_journals_2267319062
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2267319062
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2331-8422