Alabrah, A. SFTA-Net: A self-supervised approach to detect copy-move and splicing forgery to leverage triplet loss, auxiliary loss, and spatial attention. PeerJ Inc.
Chicago Style (17th ed.) CitationAlabrah, Amerah. SFTA-Net: A Self-supervised Approach to Detect Copy-move and Splicing Forgery to Leverage Triplet Loss, Auxiliary Loss, and Spatial Attention. PeerJ Inc.
MLA (9th ed.) CitationAlabrah, Amerah. SFTA-Net: A Self-supervised Approach to Detect Copy-move and Splicing Forgery to Leverage Triplet Loss, Auxiliary Loss, and Spatial Attention. PeerJ Inc.
Warning: These citations may not always be 100% accurate.