Table 1 Comparison of related surveys along with the published year, the number of referenced OBI papers, topics, challenges, and key contributions
From: Oracle bone inscriptions information processing: a comprehensive survey
Surveys | Xing et al.6 | Diao et al.12 | Li et al.13 | Ours |
|---|---|---|---|---|
Year | 2019 | 2025 | 2025 | 2026 |
#OBI Paper | 11 | 30 | 69 | 113 |
Topic | OBI Detection, Deep Learning Algorithm | Ancient Script Recognition, OCR, Deep Learning, Data Imbalance | OBI Recognition, Dataset | OBI Recognition, Rejoining, Classification, Retrieval, Deciphering, Dataset, Evaluation |
Challenges | Data noise, fragment, distribution, and variant; Synthesis of OBI noise image | Data scarcity, distribution, and noisy imagery; Need for semantically-aware denoising methods | Intrinsic variability; Quantity limitations of available data; Degraded image quality | Data source barriers, quality, distribution; Corpus-level datasets; Dataset construction pipelines; Heterogeneous OBI data representation; Objective evaluation criteria |
Contributions | Compare the performance of object detection algorithms in the OBI dataset | Review recent advances in ancient script recognition; Highlight key methodological distinctions; Emphasize challenge of noisy image recognition | Overview of oracle character recognition works; Outline the key challenges and commonly used datasets | Introduces a detailed taxonomy to categorize OBI information processing works; Discuss the applicability of the evaluation metrics; Highlight the recent trends, challenges and outline future directions |
