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cs.CV2026
Ivy-Fake: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection
Changjiang Jiang, Wenhui Dong, Zhonghao Zhang +8
The rapid development of Artificial Intelligence Generated Content (AIGC) techniques has enabled the creation of high-quality synthetic content, but it also raises significant secu…
cs.CV2026
Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection
Changjiang Jiang, Xinkuan Sha, Fengchang Yu +5
Recent studies have demonstrated that incorporating Chain-of-Thought (CoT) reasoning into the detection process can enhance a model's ability to detect synthetic images. However, e…
cs.CV2026
SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus
Ming Zhao, Wenhui Dong, Yang Zhang +23
Spine disorders affect 619 million people globally and are a leading cause of disability, yet AI-assisted diagnosis remains limited by the lack of level-aware, multimodal datasets.…