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)
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