Nov 3, 2024 · Specifically, we propose a novel progressive reasoning framework that only fuses the feature between text and authentic image area controlled by ...
Nov 3, 2024 · To address this problem, we divide the task of detecting multi-modal forgery into two sub-tasks: detecting image forgery and detecting text ...
Detect Text Forgery with Non-forged Image Features: A Framework for
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Bibliographic details on Detect Text Forgery with Non-forged Image Features: A Framework for Detection and Grounding of Image-Text Manipulation.
Nov 3, 2024 · Detect Text Forgery with Non-forged Image Features: A Framework for Detection and Grounding of Image-Text Manipulation. Yangyang Wang.
This method analyzes the ink of different pens to find fraudulent documents, which is effective for handwritten documents but not for printed document images.
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Aug 7, 2024 · Detecting image manipulation with ELA-CNN integration: a powerful framework for authenticity verification.
We introduce ObjectFormer, an end-to-end multi- modal framework for image manipulation detection and localization, combining RGB features and fre- quency ...
With the surge in realistic text tampering, detecting fraudulent text in images has gained prominence for maintaining information security.
Image forgery detection is concerned with detecting manipulated images or verifying their authenticity. It is divided into two main categories: Active and ...
Apr 5, 2023 · In this paper, we highlight a new research problem for multi-modal fake media, namely Detecting and Grounding Multi-Modal Media Manipulation (DGM^4).
Missing: Non- forged