The Loss curve obtained by training STFANet in different sub-datasets of FF++ in intra-dataset experiments.

<p>The Loss curve obtained by training STFANet in different sub-datasets of FF++ in intra-dataset experiments.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Guoren Yao (22822174) (author)
مؤلفون آخرون:	Gaoming Yang (7464977) (author), Xintian Liu (825698) (author), Lei Chen (54296) (author)
منشور في:	2025
الموضوعات:	Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified yielding auc scores vision transformer module revealing significant improvements including faceforensics ++ fake face detection extensive experiments validate detecting facial forgery video synthesis technologies overall feature representation div >< p n </ b generated feature maps frame spatial artifacts f </ b temporal features independently videos </ p feature maps </ b video authenticity feature aggregation extracted features temporal representations temporal inconsistencies temporal characteristics subsequently integrated rapid advancements proposed approach performance evaluations path structure manipulated videos fully exploit extract spatial different stages construct high benchmark datasets become progressively
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