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@OBI-Future

Oracle Bone Inscription Processing with NeXT-Models

We are working towards a future where all oracle bone inscriptions can achieve eternal digital preservation.

🔍 Multimodal OBI Information Perception in the Generative Model Era

🎯 Aiming at applying large multimodal models into paleography and archaeology

OBI Tasks: Recognition, Rejoining, Classification, Retrieval, Deciphering | Large Multimodal Models | OBI Domain Knowledge

📖Main Projects

  • OBI-Bench [ICLR2025[: Repo, Preprint. The first comprehensive benchmark for LMMs (6 proprietary and 17 open-source) on five OBI tasks.

Maintained by Zijian Chen@SJTU and Jinhao Li@ECNU.

Team Leader: Prof. Tingzhu Chen

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  1. OBI-Bench OBI-Bench Public

    [ICLR'25] The first benchmark aiming to evaluate whether LMMs can assist oracle bone inscription processing tasks

    Python 5

  2. Oracle-P15K Oracle-P15K Public

    [ACM MM'25] Official implementation of 'Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmark'

    Python 4 1

  3. PictOBI-20k PictOBI-20k Public

    PictOBI-20k: A dataset designed to evaluate large multimodal models on the visual decipherment tasks of pictographic OBCs

    Python 5 1

  4. OBI-Survey OBI-Survey Public

    A Collection for Reporting Progress in the field of Oracle Bone Inscriptions Processing

    5 1

  5. OBIFormer OBIFormer Public

    Forked from LJHolyGround/OBIFormer

    [Displays] Official implementation of 'OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions'

    Python 1

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