4 papers
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…
Revisiting Image Manipulation Localization under Realistic Manipulation Scenarios
Xuekang Zhu, Ji-Zhe Zhou, Kaiwen Feng +5
With the large models easing the labor-intensive manipulation process, image manipulations in today's real scenarios often entail a complex manipulation process, comprising a serie…
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
Bo Du, Xuekang Zhu, Xiaochen Ma +6
The field of Fake Image Detection and Localization (FIDL) is highly fragmented, encompassing four domains: deepfake detection (Deepfake), image manipulation detection and localizat…
TextSleuth: Towards Explainable Tampered Text Detection
Chenfan Qu, Jian Liu, Haoxing Chen +4
Recently, tampered text detection has attracted increasing attention due to its essential role in information security. Although existing methods can detect the tampered text regio…