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.
Semi-supervised remote sensing image semantic segmentation via consistency regular- ization and average update of pseudo-label
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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.