AI RESEARCH
SARU: A Shadow-Aware and Removal Unified Framework for Remote Sensing Images with New Benchmarks
arXiv CS.CV
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ArXi:2604.25432v1 Announce Type: new Shadows are a prevalent problem in remote sensing imagery (RSI), degrading visual quality and severely limiting the performance of downstream tasks like object detection and semantic segmentation. Most prior works treat shadow detection and removal as separate, cascaded tasks, which can lead to cumbersome process and error accumulation. Furthermore, many deep learning methods rely on paired shadow and non-shadow images for