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Conference Paper: FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models

TitleFreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
Authors
Yang, LiheXu, XiaogangKang, BingyiShi, YinghuanZhao, Hengshuang
Issue Date10-Dec-2023
Persistent Identifierhttp://hdl.handle.net/10722/339367

 

DC FieldValueLanguage
dc.contributor.authorYang, Lihe-
dc.contributor.authorXu, Xiaogang-
dc.contributor.authorKang, Bingyi-
dc.contributor.authorShi, Yinghuan-
dc.contributor.authorZhao, Hengshuang-
dc.date.accessioned2024-03-11T10:36:02Z-
dc.date.available2024-03-11T10:36:02Z-
dc.date.issued2023-12-10-
dc.identifier.urihttp://hdl.handle.net/10722/339367-
dc.languageeng-
dc.relation.ispartofNeural Information Processing Systems 2023 (10/12/2023-16/12/2023, , , New Orleans)-
dc.titleFreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models-
dc.typeConference_Paper-

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