Hyperbolic Image Segmentation

• URL: http://arxiv.org/abs/2203.05898v1
• Date: Fri, 11 Mar 2022 13:07:51 GMT
• Title: Hyperbolic Image Segmentation
• Authors: Mina GhadimiAtigh, Julian Schoep, Erman Acar, Nanne van Noord, Pascal Mettes
• Abstract summary: We propose a tractable formulation of hierarchical pixel-level classification in hyperbolic space. Hyperbolic Image opens up new possibilities and practical benefits for segmentation.
• Score: 16.50554261593531
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: For image segmentation, the current standard is to perform pixel-level optimization and inference in Euclidean output embedding spaces through linear hyperplanes. In this work, we show that hyperbolic manifolds provide a valuable alternative for image segmentation and propose a tractable formulation of hierarchical pixel-level classification in hyperbolic space. Hyperbolic Image Segmentation opens up new possibilities and practical benefits for segmentation, such as uncertainty estimation and boundary information for free, zero-label generalization, and increased performance in low-dimensional output embeddings.

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