Xiamen University, Westlake University and DAMO Academy propose "Poison as Cure", A novel method using visual noise to mitigate object hallucination in LVMs
We propose a novel method that uses optimized visual noise to suppress object hallucinations in LVMs. By enhancing factual grounding and reducing parametric bias, our approach improves model reliability across 8 vision-language models.