Few-Shot Training GAN for Face Forgery Classification and Segmentation Based on the Fine-Tune Approa...
Few-Shot Training GAN for Face Forgery Classification and Segmentation Based on the Fine-Tune Approach
About this item
Full title
Few-Shot Training GAN for Face Forgery Classification and Segmentation Based on the Fine-Tune Approach
Author / Creator
Publisher
MDPI AG
Journal title
Electronics (Basel), 2023, Vol.12 (6)
Language
English
Formats
Publication information
Publisher
MDPI AG
Subjects
More information
Alternative Titles
Full title
Few-Shot Training GAN for Face Forgery Classification and Segmentation Based on the Fine-Tune Approach
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_gale_infotracmisc_A743763568
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A743763568
Other Identifiers
ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics12061417
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