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Conference Paper: SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation

TitleSharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation
Authors
Zhu, CZhang, XLi, YQiu, LHan, KHan, X
Issue Date2022
Citation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/320138

 

DC FieldValueLanguage
dc.contributor.authorZhu, C-
dc.contributor.authorZhang, X-
dc.contributor.authorLi, Y-
dc.contributor.authorQiu, L-
dc.contributor.authorHan, K-
dc.contributor.authorHan, X-
dc.date.accessioned2022-10-21T07:47:40Z-
dc.date.available2022-10-21T07:47:40Z-
dc.date.issued2022-
dc.identifier.citationIEEE Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.identifier.urihttp://hdl.handle.net/10722/320138-
dc.languageeng-
dc.relation.ispartofIEEE Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.titleSharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation-
dc.typeConference_Paper-
dc.identifier.emailHan, K: kaihanx@hku.hk-
dc.identifier.authorityHan, K=rp02921-
dc.identifier.hkuros340297-

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