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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.
A modular multimodal framework that generates object masks from text prompts. It uses a lightweight cross-modal decoder to fuse features from interchangeable vision and language backbones.