AI RESEARCH
From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation
arXiv CS.CV
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ArXi:2604.17455v1 Announce Type: new Visual prompting has emerged as a powerful method for adapting pre-trained models to new domains without updating model parameters. However, existing prompting methods typically optimize a single prompt per domain and apply it uniformly to all inputs, limiting their ability to generalize under intra and inter-domain variability, which is especially critical in the medical field. To address this, we propose APEX, an Adaptive Prompt EXtraction framework that retrieves input-specific prompts from a learnable prompt memory.