Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors
hep-ex, cs.AI, cs.CV, cs.LG
Submitted: 2026-03-24
Updated: 2026-10-13
Terminology
Sources
- Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors
- AI-Assisted Object Condensation Clustering for Calorimeter Shower Reconstruction at CLAS12
- Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks
- Dynamic Graph CNN for Learning on Point Clouds
- Representation Learning with Contrastive Predictive Coding
- A Simple Framework for Contrastive Learning of Visual Representations
- Supervised Contrastive Learning
- Contrastive Clustering
- High Pileup Particle Tracking with Object Condensation
- Modern hierarchical, agglomerative clustering algorithms
- Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20$-$300 GeV/c
- Adam: A Method for Stochastic Optimization
- Deep Metric Learning with Spherical Embedding
- A Metric Learning Reality Check