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Gongyang Li

2 papers indexed

arxivcs.CV2026-07-16

Weakly-Supervised RGB-D Salient Object Detection via SAM-driven Pseudo Annotation and State Space Interaction-based Diffusion

Wenqi Si, Gongyang Li, Shixiang Shi, Weisi Lin

Weakly-supervised RGB-D Salient Object Detection (SOD) is explored to reduce the heavy burden of pixel-level annotations. But scribble annotations lack the structure and details of objects, resulting in inaccurate saliency maps. In this paper, we propose a novel scribble-supervis…

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arxivcs.CV2026-07-04

IPDiff: Diffusion-driven ORSI Salient Object Detection with Information Reconstruction and Multi-Prior Guidance

Gongyang Li, Zhen Bai, Runmin Cong, Dan Zeng, Weisi Lin, Xiao-Ping Zhang

Existing Salient Object Detection in Optical Remote Sensing Image (ORSI-SOD) methods mainly adopt the static inference strategy, which uses fixed trained model parameters for saliency inference in the testing phase. This means that even if the generated saliency map has errors, i…

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