How much of an image does a detector need to see? Small RGB regions can retain useful evidence of image synthesis even when they reveal little of the full scene. Motivated by single-patch detection, we study patch-wise supervision: a shared backbone classifies explicit crops, each crop receives its own loss, and patch...
Zhi-Da Zhang, Tao Wu, Si-Yu Liu et al.· 0 citations
The Band-Attention Modulation Network (BAM-Net) is proposed, a novel framework that pioneers learnable, fine-grained modulation of frequency components for forgery detection and exhibits exceptional generalization in cross-dataset, cross-compression, and cross-manipulation scenarios.
Zhi-Da Zhang, Wen-Kui Yang, Xin Ma et al.· 1 citation
EIB-Net is proposed, an Entropy-guided Information Bottleneck Network that introduces a novel Image Entropy metric to automatically select the most informative patch, then processes it with a Variational Information Bottleneck (VIB) to learn compact, generalizable features.
Zhi-Da Zhang, Xin Ma, Jie Cao· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.