כתבה
arXiv cs.LG ·
שיתוף משתנה LoRA לשיקום MRI מערכתי למגוון גורמי הזדמנות
One Shared LoRA Weight for MRI Reconstruction across Acceleration Factors
מגוון גורמי הזדמנות בשיקום MRI: פרקטיקה חדשה של שיתוף משתנה LoRA
תקציר מקורי באנגליתarXiv:2609.06338v1 Announce Type: cross Abstract: Accelerated MRI reconstruction recovers images from undersampled k-space. However, different acceleration factors produce distinct artifact patterns. Existing methods often train separate models for each factor, leading to poor cross-factor generalization and high training and storage costs. We propose Shared LoRA, a parameter-efficient framework that freezes the pretrained SHFormer backbone and trains a single shared set of LoRA adapters together with a lightweight gating network. During training, undersampled inputs are generated by randomly sampling acceleration factors and their corresponding sampling masks, enabling the shared adapters to learn reconstruction knowledge across factors. Given the acceleration factor, GateNet generates la
קרא במקור המקורי
arxiv.org
פתח כתבה מקורית