Cloud-Adapter, a lightweight cross-attention adapter on a frozen DINOv2 backbone, achieves state-of-the-art cloud segmentation on six remote sensing benchmarks with a small fraction of trainable parameters.
An iterative haze optimized transformation for automatic cloud/haze detection of land- sat imagery,
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Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
Cloud-Adapter, a lightweight cross-attention adapter on a frozen DINOv2 backbone, achieves state-of-the-art cloud segmentation on six remote sensing benchmarks with a small fraction of trainable parameters.