AI RESEARCH
ORSIFlow: Saliency-Guided Rectified Flow for Optical Remote Sensing Salient Object Detection
arXiv CS.CV
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ArXi:2603.28584v1 Announce Type: new Optical Remote Sensing Image Salient Object Detection (ORSI-SOD) remains challenging due to complex backgrounds, low contrast, irregular object shapes, and large variations in object scale. Existing discriminative methods directly regress saliency maps, while recent diffusion-based generative approaches suffer from stochastic sampling and high computational cost. In this paper, we propose ORSIFlow, a saliency-guided rectified flow framework that reformulates ORSI-SOD as a deterministic latent flow generation problem.