Cover Image

In-Field 3D Wheat Head Instance Segmentation From TLS Point Clouds Using Deep Learning Without Manual Labels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Medic, Tomislav, Nan, Liangliang
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting
by: Zhang, Daiwei, et al.
Published: (2025)

Dense 3D Displacement Estimation for Landslide Monitoring via Fusion of TLS Point Clouds and Embedded RGB Images
by: Wang, Zhaoyi, et al.
Published: (2025)

Improved Block Merging for 3D Point Cloud Instance Segmentation
by: Denis, Leon, et al.
Published: (2024)

Relation3D: Enhancing Relation Modeling for Point Cloud Instance Segmentation
by: Lu, Jiahao, et al.
Published: (2025)

FreePoint: Unsupervised Point Cloud Instance Segmentation
by: Zhang, Zhikai, et al.
Published: (2023)

A Survey of Label-Efficient Deep Learning for 3D Point Clouds
by: Xiao, Aoran, et al.
Published: (2023)

3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data
by: Yasir, Siddiqui Muhammad, et al.
Published: (2024)

Scale Disparity of Instances in Interactive Point Cloud Segmentation
by: Han, Chenrui, et al.
Published: (2024)

Pre-training with 3D Synthetic Data: Learning 3D Point Cloud Instance Segmentation from 3D Synthetic Scenes
by: Otsuka, Daichi, et al.
Published: (2025)

Weakly-Supervised Learning for Tree Instances Segmentation in Airborne Lidar Point Clouds
by: Destouches, Swann Emilien Céleste, et al.
Published: (2025)

Label-Efficient Point Cloud Segmentation with Active Learning
by: Meyer, Johannes, et al.
Published: (2025)

PolyGNN: Polyhedron-based Graph Neural Network for 3D Building Reconstruction from Point Clouds
by: Chen, Zhaiyu, et al.
Published: (2023)

When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels
by: Liu, Yifan, et al.
Published: (2024)

Parametric Point Cloud Completion for Polygonal Surface Reconstruction
by: Chen, Zhaiyu, et al.
Published: (2025)

OE3DIS: Open-Ended 3D Point Cloud Instance Segmentation
by: Nguyen, Phuc D. A., et al.
Published: (2024)

Pseudo-Label Refinement for Robust Wheat Head Segmentation via Two-Stage Hybrid Training
by: Jiang, Jiahao, et al.
Published: (2025)

PointSFDA: Source-free Domain Adaptation for Point Cloud Completion
by: He, Xing, et al.
Published: (2025)

Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
by: Shin, Sangyun, et al.
Published: (2023)

ProtoSeg: A Prototype-Based Point Cloud Instance Segmentation Method
by: Royen, Remco, et al.
Published: (2024)

3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
by: Zhang, Liyuan, et al.
Published: (2024)

Data-Efficient Semantic Segmentation of 3D Point Clouds via Open-Vocabulary Image Segmentation-based Pseudo-Labeling
by: Furuya, Takahiko
Published: (2026)

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings
by: Kang, Xueyang, et al.
Published: (2026)

SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud
by: Wang, Neng, et al.
Published: (2024)

Deep Unsupervised Segmentation of Log Point Clouds
by: Zolotarev, Fedor, et al.
Published: (2025)

Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
by: Qiu, Kevin, et al.
Published: (2025)

Deep Learning for 3D Point Cloud Enhancement: A Survey
by: Quan, Siwen, et al.
Published: (2024)

Horticultural Temporal Fruit Monitoring via 3D Instance Segmentation and Re-Identification using Colored Point Clouds
by: Fusaro, Daniel, et al.
Published: (2024)

Hard-Label Black-Box Attacks on 3D Point Clouds
by: Liu, Daizong, et al.
Published: (2024)

Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
by: Yang, Bin, et al.
Published: (2026)

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes
by: Yu, Zhiyuan, et al.
Published: (2024)

LIDARLearn: A Unified Deep Learning Library for 3D Point Cloud Classification, Segmentation, and Self-Supervised Representation Learning
by: Ohamouddou, Said, et al.
Published: (2026)

3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation
by: Caunes, Andrew, et al.
Published: (2025)

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation
by: Chen, Yujun, et al.
Published: (2023)

PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation
by: Chen, Yang, et al.
Published: (2025)

Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
by: Pan, Zhiyi, et al.
Published: (2023)

BPNet: Bézier Primitive Segmentation on 3D Point Clouds
by: Fu, Rao, et al.
Published: (2023)

Extreme Point Supervised Instance Segmentation
by: Lee, Hyeonjun, et al.
Published: (2024)

Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds
by: He, Pei, et al.
Published: (2025)

Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds
by: Rahman, Asad Ur, et al.
Published: (2024)

MIQ-SAM3D: From Single-Point Prompt to Multi-Instance Segmentation via Competitive Query Refinement
by: Qu, Jierui, et al.
Published: (2025)