Cover Image

SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wielgosz, Maciej, Puliti, Stefano, Xiang, Binbin, Schindler, Konrad, Astrup, Rasmus
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
by: Xiang, Binbin, et al.
Published: (2023)

ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds
by: Xiang, Binbin, et al.
Published: (2025)

BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach
by: Puliti, Stefano, et al.
Published: (2024)

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms
by: Taher, Josef, et al.
Published: (2025)

Towards enhancing field‐based vegetation monitoring: A deep learning approach for species coverage estimation from ground‐level imagery
by: Pauline Müller, et al.
Published: (2025)

Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset
by: Puliti, Stefano, et al.
Published: (2024)

Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR ‐ species20K dataset
by: Stefano Puliti, et al.
Published: (2025)

Benchmarking individual tree segmentation using multispectral airborne laser scanning data: the FGI-EMIT dataset
by: Ruoppa, Lassi, et al.
Published: (2025)

Analyzing Internal Activity and Robustness of SNNs Across Neuron Parameter Space
by: Mazurek, Szymon, et al.
Published: (2025)

Towards general deep-learning-based tree instance segmentation models
by: Henrich, Jonathan, et al.
Published: (2024)

Compression and Inference of Spiking Neural Networks on Resource-Constrained Hardware
by: Jurzec, Karol C., et al.
Published: (2025)

Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
by: Zheng, Xu, et al.
Published: (2024)

Integrated resonant electro-optic comb enabled by platform-agnostic laser integration
by: Lufungula, Isaac Luntadila, et al.
Published: (2024)

SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI
by: Colglazier, Roy, et al.
Published: (2025)

AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts
by: Grieger, Niklas, et al.
Published: (2025)

How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?
by: Zhang, Yixin, et al.
Published: (2024)

SmartFlow: A CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms
by: Xiao, Maochao, et al.
Published: (2025)

Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification
by: Wielgosz, Maciej, et al.
Published: (2025)

NormalView: sensor-agnostic tree species classification from backpack and aerial lidar data using geometric projections
by: Korkeala, Juho, et al.
Published: (2025)

Operación justicia infinita (O Esto es lo más grande de la historia)
by: Giandoménico Puliti
Published: (2001)

De supervisores itinerantes y mercaderes de la educación
by: Giandomenico Puliti
Published: (2000)

Defect Segmentation in OCT scans of ceramic parts for non-destructive inspection using deep learning
by: Laveda-Martínez, Andrés, et al.
Published: (2025)

Assessing airborne laser scanning and aerial photogrammetry for deep learning-based stand delineation
by: Sandum, Håkon Næss, et al.
Published: (2026)

Segment Any Change
by: Zheng, Zhuo, et al.
Published: (2024)

Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective
by: Mazurek, Szymon, et al.
Published: (2025)

Semantic segmentation on multi-resolution optical and microwave data using deep learning
by: Singla, Jai G, et al.
Published: (2024)

Semantic segmentation of forest stands using deep learning
by: Sandum, Håkon Næss, et al.
Published: (2025)

Robust synchrotron-based deep learning algorithm for intracochlear segmentation in clinical scans: development and international validation
by: Micuda, Ashley, et al.
Published: (2026)

Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion
by: Konz, Nicholas, et al.
Published: (2023)

Lidar-based Norwegian tree species detection using deep learning
by: Vermeer, Martijn, et al.
Published: (2023)

Enhancing scene understanding using RGB‐D visuals and deep learning segmentation models
by: Aysha Naseer, et al.
Published: (2026)

DVS-PedX: Synthetic-and-Real Event-Based Pedestrian Dataset
by: Sakhai, Mustafa, et al.
Published: (2025)

Archaeometric provenance study of marbles from Porphyreon and Chhim (Lebanon) and early Byzantine production specialisation
by: Mariusz Gwiazda, et al.
Published: (2025)

Detecting spills using thermal imaging, pretrained deep learning models, and a robotic platform
by: Yeghiyan, Gregory, et al.
Published: (2025)

Improving the generalization of deep learning models in the segmentation of mammography images
by: Hurtado, Jan, et al.
Published: (2025)

A hands‐on guide to use network video recorders, internet protocol cameras, and deep learning models for dynamic monitoring of trout and salmon in small streams
by: Konrad Karlsson
Published: (2024)

SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
by: Gu, Hanxue, et al.
Published: (2024)

Comprehensive data analysis of white blood cells with classification and segmentation by using deep learning approaches
by: Şeyma Nur Özcan, et al.
Published: (2024)

OCTolyzer: Fully automatic toolkit for segmentation and feature extracting in optical coherence tomography and scanning laser ophthalmoscopy data
by: Burke, Jamie, et al.
Published: (2024)

Mapping pathogenic fungi in decayed Norway spruce stands: Insights from harvester positional data
by: Wilson Lara, et al.
Published: (2024)