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Putree: A Photorealistic Large-Scale Virtual Benchmark for Forest Training.

, , , , and . VR Workshops, page 687-688. IEEE, (2024)

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M2fNet: Multi-Modal Forest Monitoring Network on Large-Scale Virtual Dataset., , , , , , and . VR Workshops, page 539-543. IEEE, (2024)Morphological Approach for Forest Woody Debris Detection Using Multi-Platform, Multi-Resolution Lidar Data., , , , , and . IGARSS, page 8312-8315. IEEE, (2024)Hotspot detection for chestnut oak regeneration.. DG.O, volume 89 of ACM International Conference Proceeding Series, page 243-244. Digital Government Research Center, (2005)A Robust Stepwise Clustering Approach to Detect Individual Trees in Temperate Hardwood Plantations using Airborne LiDAR Data., , and . Remote. Sens., 15 (5): 1241 (March 2023)Label-Efficient Video Object Segmentation With Motion Clues., , , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 34 (8): 6710-6721 (August 2024)Radiometric And Geometric Approach For Major Woody Parts Segmentation In Forest Lidar Point Clouds., , , , , and . IGARSS, page 6220-6223. IEEE, (2023)LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application., , , , , , and . VR Workshops, page 112-116. IEEE, (2024)Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors., , , , , , and . CoRR, (2024)Automated Inventory of Broadleaf Tree Plantations with UAS Imagery., , , , and . Remote. Sens., 14 (8): 1931 (2022)Putree: A Photorealistic Large-Scale Virtual Benchmark for Forest Training., , , , and . VR Workshops, page 687-688. IEEE, (2024)