Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions

arXiv:2310.19695v3 Announce Type: replace-cross
Abstract: Image decomposition plays a crucial role in various computer vision tasks, enabling the analysis and manipulation of visual content at a fundamental level. Overlapping images, which occur when multiple objects or scenes partially occlude each other, pose unique challenges for decomposition algorithms. The task intensifies when working with sparse images, where the scarcity of meaningful information complicates the precise extraction of components. This paper presents a solution that leverages the power of deep learning to …

abstract algorithms analysis application arxiv challenges computer computer vision cs.cv cs.lg enabling fundamental hep-ex image images interactions manipulation multiple objects role tasks type unique vertex vision visual