Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors
The results demonstrate that similarity-based representation learning combined with density-based aggregation is a promising alternative to object-centric approaches for point cloud segmentation in highly granular detectors.
Max Marriott-Clarke, Lazar Novakovic, Elizabeth Ratzer et al.
· PRX Intelligence · 1 citation