Multi-Source Domain Alignment for Robust Segmentation in Unknown Targets

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dc.contributor.authorShyam, Pranjayko
dc.contributor.authorYoon, Kuk-Jinko
dc.contributor.authorKim, Kyung-Sooko
dc.date.accessioned2022-11-09T11:00:15Z-
dc.date.available2022-11-09T11:00:15Z-
dc.date.created2022-06-30-
dc.date.created2022-06-30-
dc.date.created2022-06-30-
dc.date.issued2022-10-27-
dc.identifier.citation2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022-
dc.identifier.urihttp://hdl.handle.net/10203/299415-
dc.languageEnglish-
dc.publisherIEEE, RSJ-
dc.titleMulti-Source Domain Alignment for Robust Segmentation in Unknown Targets-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022-
dc.identifier.conferencecountryJA-
dc.identifier.conferencelocationKyoto International Conference Center-
dc.contributor.localauthorYoon, Kuk-Jin-
dc.contributor.localauthorKim, Kyung-Soo-
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ME-Conference Papers(학술회의논문)
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