Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/137221
DC FieldValueLanguage
dc.contributor資科系-
dc.creator劉昭麟-
dc.creatorLiu, Chao-Lin-
dc.creatorTang, Chia-Wei-
dc.creatorChiu, Po-Sen-
dc.date2020-12-
dc.date.accessioned2021-09-22T02:39:07Z-
dc.date.available2021-09-22T02:39:07Z-
dc.date.issued2021-09-22T02:39:07Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/137221-
dc.format.extent13028540 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationProceedings of the 2020 IEEE International Conference on Big Data, IEEE-
dc.titleHRCenterNet: An anchorless approach to Chinese character segmentation in historical documents-
dc.typeconference-
dc.identifier.doi10.1109/BigData50022.2020.9378051-
dc.doi.urihttps://doi.org/10.1109/BigData50022.2020.9378051-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextrestricted-
item.openairetypeconference-
item.cerifentitytypePublications-
Appears in Collections:會議論文
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