Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation

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dc.contributor.authorShin, Inkyuko
dc.contributor.authorYoon, Kuk-Jinko
dc.contributor.authorKweon, In-Soko
dc.date.accessioned2023-07-14T01:00:41Z-
dc.date.available2023-07-14T01:00:41Z-
dc.date.created2023-05-18-
dc.date.issued2023-06-18-
dc.identifier.citationIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on Transformers for Vision 2023-
dc.identifier.urihttp://hdl.handle.net/10203/310505-
dc.languageEnglish-
dc.publisherIEEE/CVF-
dc.titleVideo-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on Transformers for Vision 2023-
dc.identifier.conferencecountryCN-
dc.identifier.conferencelocationVancouver Convention Center-
dc.contributor.localauthorYoon, Kuk-Jin-
dc.contributor.localauthorKweon, In-So-
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ME-Conference Papers(학술회의논문)EE-Conference Papers(학술회의논문)
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