BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentation. (arXiv:2207.11446v2 [cs.CV] UPDATED)

Capturing the global topology of an image is essential for proposing an
accurate segmentation of its domain. However, most of existing segmentation
methods do not preserve the initial topology of the given input, which is
detrimental for numerous downstream object-based tasks. This is all the more
true for deep learning models which most work at local scales. In this paper,
we propose a new topology-preserving deep image segmentation method which
relies on a new leakage loss: the Pathloss. Our method …

arxiv cv deep learning image learning segmentation topology