Hierarchical Semantic Segmentation: Limitations and Opportunities in Hyperbolic Geometry

The core message of this article is that the established practice of hierarchical semantic segmentation may be limited to in-domain settings, whereas flat classifiers generalize substantially better, especially if they are modeled in the hyperbolic space.