2 papers
cs.CV2026
THEMIS: Towards Holistic Evaluation of MLLMs for Scientific Paper Fraud Forensics
Tzu-Yen Ma, Bo Zhang, Zichen Tang +20
We present THEMIS, a novel multi-task benchmark designed to comprehensively evaluate multimodal large language models (MLLMs) on visual fraud reasoning within real-world academic s…
cs.CV2024
Compositional Oil Spill Detection Based on Object Detector and Adapted Segment Anything Model from SAR Images
Wenhui Wu, Man Sing Wong, Xinyu Yu +3
Semantic segmentation-based methods have attracted extensive attention in oil spill detection from SAR images. However, the existing approaches require a large number of finely ann…