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Benchmarking Scientific Image Forgery Detectors
Author(s) -
João Phillipe Cardenuto,
Armando Freitas da Rocha
Publication year - 2022
Publication title -
science and engineering ethics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 53
eISSN - 1471-5546
pISSN - 1353-3452
DOI - 10.1007/s11948-022-00391-4
Subject(s) - computer science , benchmarking , benchmark (surveying) , bottleneck , source code , data science , commit , image (mathematics) , metric (unit) , digital image , workflow , field (mathematics) , data mining , artificial intelligence , image processing , database , engineering , operations management , geodesy , marketing , business , embedded system , geography , operating system , mathematics , pure mathematics

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