A Swin-transformer smoke detector is trained on segmentation masks produced by the authors' own optical flow and Gaussian mixture pipeline, with reported accuracy and uncertainty claims lacking independent human-annotated evaluation.
Deployment and integration of smart sensors with iot devices detecting fire disasters in huge forest environment
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Reliable Smoke Detection via Optical Flow-Guided Feature Fusion and Transformer-Based Uncertainty Modeling
A Swin-transformer smoke detector is trained on segmentation masks produced by the authors' own optical flow and Gaussian mixture pipeline, with reported accuracy and uncertainty claims lacking independent human-annotated evaluation.