6 citations · 12 across the 7 of their papers we have counts for
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cs.CV2024★ 3 cited
Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning
Yuanman Li, Yingjie He, Changsheng Chen +4
Recent advances in deep learning algorithms have shown impressive progress in image copy-move forgery detection (CMFD). However, these algorithms lack generalizability in practical…
cs.CV2023★ 1 cited
NAS-ASDet: An Adaptive Design Method for Surface Defect Detection Network using Neural Architecture Search
Zhenrong Wang, Bin Li, Weifeng Li +3
Deep convolutional neural networks (CNNs) have been widely used in surface defect detection. However, no CNN architecture is suitable for all detection tasks and designing effectiv…
cs.CV2023
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization
Long Zhuo, Shenghai Luo, Shunquan Tan +3
Anti-forensics seeks to eliminate or conceal traces of tampering artifacts. Typically, anti-forensic methods are designed to deceive binary detectors and persuade them to misjudge…