HorusEye investigates whether natural language can serve as a dynamic attention mechanism for Vision-Language Models under degraded emergency conditions.
-
Updated
Jun 16, 2026 - Python
HorusEye investigates whether natural language can serve as a dynamic attention mechanism for Vision-Language Models under degraded emergency conditions.
VAlign-Robust: A research framework for quantifying and mitigating semantic hallucination drift in Vision-Language Models (VLMs) under sensory degradation and adversarial noise.
Add a description, image, and links to the vlm-robustness topic page so that developers can more easily learn about it.
To associate your repository with the vlm-robustness topic, visit your repo's landing page and select "manage topics."