vlm-robustness

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Sappymukherjee214 / Noise-Induced-Hallucination-in-VLMs

VAlign-Robust: A research framework for quantifying and mitigating semantic hallucination drift in Vision-Language Models (VLMs) under sensory degradation and adversarial noise.

information-theory pytorch explainable-ai deep-learning-research adversarial-robustness hallucination-detection vision-language-models multimodal-safety vlm-robustness multimodal-benchmarking

Updated Mar 31, 2026
Python

armelyara / HorusEye

Star

HorusEye is a system that, in real time, optimizes the rescue mission to save as many lives as possible and ensure the safety of emergency responders. In this work, we investigates whether natural language can serve as a dynamic attention mechanism for Vision-Language Models under degraded emergency conditions.

python benchmark computer-vision deep-learning image-classification object-detection visual-grounding vision-language-model halucination emergency-ai refcoco vlm-robustness

Updated Aug 20, 2026
Python

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