The paper introduces SegmentAnyTreeV2, a new framework using Point Transformer v3 for tree instance segmentation in point clouds, along with the FOR-instance v3 benchmark of 427 scenes and 26,496 trees, achieving high performance metrics and good generalization.
ITS-Net: A platform and sensor agnostic 3D deep learning model for individual tree segmentation using aerial LiDAR data
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SegmentAnyTreeV2: Scaling Transformer-Based Tree Instance Segmentation Across Sensors, Platforms, and Forests
The paper introduces SegmentAnyTreeV2, a new framework using Point Transformer v3 for tree instance segmentation in point clouds, along with the FOR-instance v3 benchmark of 427 scenes and 26,496 trees, achieving high performance metrics and good generalization.