3 papers
physics.soc-ph2025
AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions
Stephen G. Dale, Nikita Kazeev, Alastair J. A. Price +65
Artificial intelligence and machine learning are reshaping how we approach scientific discovery, not by replacing established methods but by extending what researchers can probe, p…
cs.CV2025
Manual Labelling Artificially Inflates Deep Learning-Based Segmentation Performance on RGB Images of Closed Canopy: Validation Using TLS
Matthew J. Allen, Harry J. F. Owen, Stuart W. D. Grieve +1
Monitoring forest dynamics at an individual tree scale is essential for accurately assessing ecosystem responses to climate change, yet traditional methods relying on field-based f…
cs.CV2025
PointsToWood: A deep learning framework for complete canopy leaf-wood segmentation of TLS data across diverse European forests
Harry J. F. Owen, Matthew J. A. Allen, Stuart W. D. Grieve +2
Point clouds from Terrestrial Laser Scanning (TLS) are an increasingly popular source of data for studying plant structure and function but typically require extensive manual proce…