WeatherSeg combines dual teacher-student weight sharing and classifier-updating attention to deliver more accurate and robust semantic segmentation across clear, rainy, cloudy, and foggy conditions.
Enhancing semi-supervised semantic segmen- tation of remote sensing images via fea- ture perturbation-based consistency regulariza- tion methods
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WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention
WeatherSeg combines dual teacher-student weight sharing and classifier-updating attention to deliver more accurate and robust semantic segmentation across clear, rainy, cloudy, and foggy conditions.