Controlling Dependency: Selectively Resetting Channels for Pre-trained CNN Backbone Network on Hand Pose Estimation

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dc.contributor.authorCho, Gyusangko
dc.contributor.authorYoun, Chan-Hyunko
dc.date.accessioned2022-11-09T13:00:30Z-
dc.date.available2022-11-09T13:00:30Z-
dc.date.created2022-10-06-
dc.date.created2022-10-06-
dc.date.issued2022-10-21-
dc.identifier.citationICTC 2022 (The 13th International Conference on ICT Convergence)-
dc.identifier.urihttp://hdl.handle.net/10203/299434-
dc.languageEnglish-
dc.publisherThe Korean Institutes of Communications and Information Sciences (KICS)-
dc.titleControlling Dependency: Selectively Resetting Channels for Pre-trained CNN Backbone Network on Hand Pose Estimation-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85143254048-
dc.type.rimsCONF-
dc.citation.publicationnameICTC 2022 (The 13th International Conference on ICT Convergence)-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationRamada Plaza Hotel, Jeju Island-
dc.contributor.localauthorYoun, Chan-Hyun-
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EE-Conference Papers(학술회의논문)
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