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Automatic defect detection in infrared thermal images of ancient polyptychs based on numerical simulation and a new efficient channel attention mechanism aided Faster R-CNN model

Crossref DOI link: https://doi.org/10.1186/s40494-024-01441-9

Published Online: 2024-09-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Xin

Jiang, Guimin

Hu, Jue

Sfarra, Stefano

Mostacci, Miranda

Kouis, Dimitrios

Yang, Dazhi

Fernandes, Henrique

Avdelidis, Nicolas P.

Maldague, Xavier

Gai, Yonggang

Zhang, Hai
Funding

Funding for this research was provided by:

Ministero dell’Istruzione, dell’Università e della Ricerca (PGR02016)

Ministry of Science and Technology of the People's Republic of China (2023YFE0197800)
License Information

Text and Data Mining valid from 2024-09-16

Version of Record valid from 2024-09-16
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Article History

Received: 31 March 2024

Accepted: 3 September 2024

First Online: 16 September 2024

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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