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SRPR-Net: Semantic and Relational Prompt Refinement for Automated SAM-based Instance Segmentation
Instance segmentation is a fundamental computer vision task with diverse real-world applications. Recently, prompt-driven foundation models have shown promising generalization. However, automated prompting remains limited by insufficient semantic guidance and inter-instance modeling. To address this
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