3 papers
cs.CV2026
Toward Optimal Adenovirus Detection Using YOLO26
Olivier Rukundo
This study systematically benchmarks different data augmentation setups across the baseline YOLO26 model size variants to determine the most effective setup for adenovirus detectio…
cs.CV2025
Beyond Nearest Neighbor Interpolation in Data Augmentation
Olivier Rukundo
Avoiding the risk of undefined categorical labels using nearest neighbor interpolation overlooks the risk of exacerbating pixel level annotation errors in augmented training data.…
cs.CV2023
Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles
Olivier Rukundo, Andrea Behanova, Riccardo De Feo +3
Regular monitoring of the primary particles and purity profiles of a drug product during development and manufacturing processes is essential for manufacturers to avoid product var…