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Conference Paper: FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
Title | FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models |
---|---|
Authors | |
Issue Date | 10-Dec-2023 |
Persistent Identifier | http://hdl.handle.net/10722/339367 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yang, Lihe | - |
dc.contributor.author | Xu, Xiaogang | - |
dc.contributor.author | Kang, Bingyi | - |
dc.contributor.author | Shi, Yinghuan | - |
dc.contributor.author | Zhao, Hengshuang | - |
dc.date.accessioned | 2024-03-11T10:36:02Z | - |
dc.date.available | 2024-03-11T10:36:02Z | - |
dc.date.issued | 2023-12-10 | - |
dc.identifier.uri | http://hdl.handle.net/10722/339367 | - |
dc.language | eng | - |
dc.relation.ispartof | Neural Information Processing Systems 2023 (10/12/2023-16/12/2023, , , New Orleans) | - |
dc.title | FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models | - |
dc.type | Conference_Paper | - |