most citedCFL-Net: Image Forgery Localization Using Contrastive Learning

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 2 cited

CFL-Net: Image Forgery Localization Using Contrastive Learning

Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo

Conventional forgery localizing methods usually rely on different forgery footprints such as JPEG artifacts, edge inconsistency, camera noise, etc., with cross-entropy loss to loca…