Noise and Edge Based Dual Branch Image Manipulation Detection
Author:
Affiliation:
1. School of Computer Science and Technology, Xi'an Jiaotong University, China
2. China Mobile Research Institute, China Mobile, China
Funder
MoE-CMCC Artificial Intelligence Project
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3603781.3604221
Reference18 articles.
1. Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection
2. Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN)
3. Generate, Segment, and Refine: Towards Generic Manipulation Segmentation
4. Image Manipulation Detection by Multi-View Multi-Scale Supervision
5. Non-local Neural Networks
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