3 papers
cs.CV2026
How Sampling Strategy Affects Imbalance Mitigation in LiDAR Segmentation: A Study of Structured vs. Random Point-Based Architectures
Antonis Savva, Christos Kyrkou, Theocharis Theocharides
Class imbalance in LiDAR point clouds poses challenges for semantic segmentation in autonomous navigation and urban mapping. While 2D vision has numerous mitigation techniques, the…
cs.CV2026
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance
Antonis Savva, Christos Kyrkou, Theocharis Theocharides
Semantic segmentation of 3D point clouds faces severe class imbalance, yet the effectiveness of specialized imbalance-aware methods from 2D computer vision remains unclear in 3D co…
cs.CV2025
Efficient Global Neural Architecture Search
Shahid Siddiqui, Christos Kyrkou, Theocharis Theocharides
Neural architecture search (NAS) has shown promise towards automating neural network design for a given task, but it is computationally demanding due to training costs associated w…