3 papers
cs.CV2026
Leveraging Image Generators to Address Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping
Gabriel Jeanson, David-Alexandre Duclos, William Larrivée-Hardy +5
Sustainable forest management relies on precise species composition mapping, yet traditional ground surveys are labour-intensive and geographically constrained. While Uncrewed Aeri…
cs.SD2026
Toward Faithful Explanations in Acoustic Anomaly Detection
Maab Elrashid, Anthony Deschênes, Cem Subakan +3
Interpretability is essential for user trust in real-world anomaly detection applications. However, deep learning models, despite their strong performance, often lack transparency.…
cs.SD2025
Planing It by Ear: Convolutional Neural Networks for Acoustic Anomaly Detection in Industrial Wood Planers
Anthony Deschênes, Rémi Georges, Cem Subakan +3
In recent years, the wood product industry has been facing a skilled labor shortage. The result is more frequent sudden failures, resulting in additional costs for these companies…