arXiv cs.CV
· Papers
Unsupervised training of keypoint-agnostic descriptors for flexible retinal image registration
arXiv:2505.02787v3 Announce Type: replace Abstract: Current color fundus image registration approaches are limited, among other things, by the lack of labeled data, which is even more significant in the medical domain, motivating the use of unsupervised learning. Therefore, in this work, we develop a novel unsupervised