Kun Shang

FSANet is proposed, which integrates prior knowledge with a dual-domain solver to sequentially adapt to diverse segmentation tasks and introduces SceneX, a novel open-source dataset featuring 10 challenging non-ideal scenarios, establishing a new benchmark for evaluating and improving the robustness and real-world applicability of the segmentation models.