DDUNet, a 0.33M-parameter U-Net with dynamic multi-scale convolution and dynamic classifier weights, reaches 95.3% accuracy for cloud segmentation on SWINySEG.
An extremely-low cost ground-based whole sky imager,
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DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation
DDUNet, a 0.33M-parameter U-Net with dynamic multi-scale convolution and dynamic classifier weights, reaches 95.3% accuracy for cloud segmentation on SWINySEG.