FOCA: Frequency-Oriented Cross-Domain Forgery Detection, Localization and Explanation via Multi-Modal Large Language Model

AN
Ali Nemati
6 days ago21 sec read11 views

Researchers introduced FOCA, a multimodal large language model framework for detecting and localizing image forgery by integrating features from RGB spatial and frequency domains. This advancement improves media verification and digital forensics by offering more accurate detection and human-interpretable explanations compared to existing methods.

Read the full article at arXiv cs.CV (Vision)


Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.

11
Comments
AN
Ali NematiWritten by Ali
View all posts

Related Articles

FOCA: Frequency-Oriented Cross-Domain Forgery Detection, Localization and Explanation via Multi-Modal Large Language Model | OSLLM.ai