AI RESEARCH
In-Field 3D Wheat Head Instance Segmentation From TLS Point Clouds Using Deep Learning Without Manual Labels
arXiv CS.CV
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ArXi:2603.14309v1 Announce Type: new 3D instance segmentation for laser scanning (LiDAR) point clouds remains a challenge in many remote sensing-related domains. Successful solutions typically rely on supervised deep learning and manual annotations, and consequently focus on objects that can be well delineated through visual inspection and manual labeling of point clouds. However, for tasks with complex and cluttered scenes, such as in-field plant phenotyping in agriculture, such approaches are often infeasible.