Meta-Learned Feature Critics for Domain Generalized Semantic
Segmentation
Meta-Learned Feature Critics for Domain Generalized Semantic
Segmentation
How to handle domain shifts when recognizing or segmenting visual data across domains has been studied by learning and vision communities. In this paper, we address domain generalized semantic segmentation, in which the segmentation model is trained on multiple source domains and is expected to generalize to unseen data domains. …