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AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining
Chongsheng Zhang, Ruixing Zong, Shuang Cao et al., 2020.
What it's used for here
IJCAI 2020 demo: OB-Rejoin dataset and algorithm (98.39% top-10 on held-out joins), OracleBone-8000 character-level annotations, 80.9% recognition accuracy. Used for the fragment-rejoining line of work.
Cited by on this site 3 records
The unread oracle bone characters
MYSThe mystery article
Cite it
Chongsheng Zhang, Ruixing Zong, Shuang Cao, Yi Men, & Bofeng Mo (2020). AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining. https://doi.org/10.24963/ijcai.2020/779
@inproceedings{zhang2020rejoining,
author = {Chongsheng Zhang} and {Ruixing Zong} and {Shuang Cao} and {Yi Men} and {Bofeng Mo},
title = {AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining},
year = {2020},
doi = {10.24963/ijcai.2020/779}
}TY - GEN TI - AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining AU - Chongsheng Zhang AU - Ruixing Zong AU - Shuang Cao AU - Yi Men AU - Bofeng Mo PY - 2020 DO - 10.24963/ijcai.2020/779 ER -
et al.. “AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining.” 2020. https://doi.org/10.24963/ijcai.2020/779.