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Jan, 2023
建模不确定特征表示以实现领域泛化
Modeling Uncertain Feature Representation for Domain Generalization
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Xiaotong Li, Zixuan Hu, Jun Liu, Yixiao Ge, Yongxing Dai...
TL;DR
本文通过建模领域的不确定性,提出了一种基于动态实例自适应的方法,改善了深度学习模型的泛化能力,并且通过实验证明该方法可以应用于多项视觉任务。
Abstract
Though
deep neural networks
have achieved impressive success on various vision tasks, obvious performance degradation still exists when models are tested in
out-of-distribution scenarios
. In addressing this limit
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