Mask2Former instance segmentation model trained on 18,507 high-quality crown annotations from Japanese broadleaf forests achieves strong performance and cross-region generalization to tropical rainforests using only RGB UAV data.
Individual tree parameters estimation for plantation forests based on uav oblique photography.IEEE Access, 8:96184–96198
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Highly Detailed and Generalizable Broadleaf Tree Crown Instance Segmentation from UAV Imagery
Mask2Former instance segmentation model trained on 18,507 high-quality crown annotations from Japanese broadleaf forests achieves strong performance and cross-region generalization to tropical rainforests using only RGB UAV data.