MITA-YOLO combines mirror-based indirect vision with a Target-Mask module that filters out non-mirror regions, reporting improved fire detection accuracy on a synthetic heritage-building dataset.
Fire-net: A deep learning framework for active forest fire detection,
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Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection
MITA-YOLO combines mirror-based indirect vision with a Target-Mask module that filters out non-mirror regions, reporting improved fire detection accuracy on a synthetic heritage-building dataset.