Semantic-Aware Domain Generalized Segmentation

Abstract

Figure 1. Illustration of existing Instance Normalization and Whitening methods and our proposed approach. (a-c) Existing methods broadly eliminate the global distribution variance but ignore the category-level semantic consistency resulting in limited feature discrimination. (d) Our proposed modules (SAN & SAW) encourage both intra-category compactness and inter-category separation through category-level feature alignment leading to both effective style elimination and powerful feature discrimination.