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DR-net: Depth-assisted refinement network for image manipulation localization
DOI:10.1016/j.neucom.2026.133776.png)
摘要
En 中文
• 将深度建模为几何先验以表征结构不一致性。• 从RGB和深度线索中学习深度引导的跨模态表示。• 通过线索引导的细化增强弱法证响应。• 在十个公开基准上展示了最先进的性能。
Keyword:
depth
geometric prior
cross-modal representations
forensic response
image manipulation localization
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
PIM-Net: Progressive Inconsistency Mining Network for image manipulation localization
PATTERN RECOGNITION
IF7.6
Robustifying vision transformer for image forgery localization with multi-exit architectures利用多出口架构增强视觉Transformer以进行图像伪造定位
PATTERN RECOGNITION
IF7.6
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection约束卷积神经网络: 一种通用图像处理检测的新方法
Mshrt-net: multi-scale hierarchical residual transfer network for image manipulation detection and localizationMshrt-net:用于图像篡改检测与定位的多尺度层次化残差迁移网络

