SpurCon: Weighted Supervised Contrastive Learning for Mitigating Spurious Cues in Medical Imaging
SpurCon:用于缓解医学成像中虚假线索的加权监督对比学习
机构 * Viterbi Faculty of Electrical and Computer Engineering, Technion - Israel Institute of Technology(以色列理工学院维特比电气与计算机工程学院)
AI总结 SpurCon是基于加权监督对比学习的轻量级框架,利用少样本流程估计虚假标签,在医学成像等数据集上实现了最优的虚假线索缓解性能,平衡了最差组与总体准确率。