SwinOCSR: end-to-end optical chemical structure recognition using a Swin Transformer

Optical chemical structure recognition from scientific publications is essential for rediscovering a chemical structure. It is an extremely challenging problem, and current rule-based and deep-learning methods cannot achieve satisfactory recognition rates. Herein, we propose SwinOCSR, an end-to-end...

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Detalles Bibliográficos
Autores principales: Xu, Zhanpeng, Li, Jianhua, Yang, Zhaopeng, Li, Shiliang, Li, Honglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248127/
https://www.ncbi.nlm.nih.gov/pubmed/35778754
http://dx.doi.org/10.1186/s13321-022-00624-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248127/
https://www.ncbi.nlm.nih.gov/pubmed/35778754
http://dx.doi.org/10.1186/s13321-022-00624-5

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