Cover Image

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Duan, Lunhao, Zhao, Shanshan, Weng, Xingxing, Zhang, Jing, Xia, Gui-Song
Format:	Preprint
Published:	2025
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

Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
by: Chen, Yiyang, et al.
Published: (2024)

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning
by: Chen, Yiyang, et al.
Published: (2025)

Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
by: Liu, Chuandong, et al.
Published: (2024)

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

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives
by: Weng, Xingxing, et al.
Published: (2025)

Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-aware Learning
by: Weng, Tengjin, et al.
Published: (2023)

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

Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations
by: Lu, Zhuheng, et al.
Published: (2022)

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
by: Duan, Lunhao, et al.
Published: (2024)

HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation
by: Pang, Chao, et al.
Published: (2024)

Weakly Supervised Point Cloud Segmentation via Conservative Propagation of Scene-level Labels
by: Xia, Shaobo, et al.
Published: (2023)

SSFlowNet: Semi-supervised Scene Flow Estimation On Point Clouds With Pseudo Label
by: Chen, Jingze, et al.
Published: (2023)

Multimodal Point Cloud Semantic Segmentation With Virtual Point Enhancement
by: Duan, Zaipeng, et al.
Published: (2025)

Twin Deformable Point Convolutions for Point Cloud Semantic Segmentation in Remote Sensing Scenes
by: Mao, Yong-Qiang, et al.
Published: (2024)

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds
by: Wang, Chongyu, et al.
Published: (2025)

Pseudo-labeling with Keyword Refining for Few-Supervised Video Captioning
by: Li, Ping, et al.
Published: (2024)

Point Cloud Based Scene Segmentation: A Survey
by: Halperin, Dan, et al.
Published: (2025)

High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
by: Jonnarth, Arvi, et al.
Published: (2023)

3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling
by: Jiang, Chaokang, et al.
Published: (2024)

Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling
by: Wang, Xu, et al.
Published: (2024)

3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation
by: Lu, Dening, et al.
Published: (2024)

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds
by: Zeng, Cheng, et al.
Published: (2025)

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

WordCon: Word-level Typography Control in Scene Text Rendering
by: Shi, Wenda, et al.
Published: (2025)

DAGLFNet: Deep Feature Attention Guided Global and Local Feature Fusion for Pseudo-Image Point Cloud Segmentation
by: Chen, Chuang, et al.
Published: (2025)

Gap Completion in Point Cloud Scene occluded by Vehicles using SGC-Net
by: Feng, Yu, et al.
Published: (2024)

Ambiguity-aware Point Cloud Segmentation by Adaptive Margin Contrastive Learning
by: Chen, Yang, et al.
Published: (2025)

Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
by: Ming, Yu, et al.
Published: (2024)

RePL: Pseudo-label Refinement for Semi-supervised LiDAR Semantic Segmentation
by: Kwon, Donghyeon, et al.
Published: (2026)

Learning from Noisy Pseudo-labels for All-Weather Land Cover Mapping
by: Liu, Wang, et al.
Published: (2025)

Char-SAM: Turning Segment Anything Model into Scene Text Segmentation Annotator with Character-level Visual Prompts
by: Xie, Enze, et al.
Published: (2024)

Continual Vision-Language Learning for Remote Sensing: Benchmarking and Analysis
by: Weng, Xingxing, et al.
Published: (2026)

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

Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation
by: Xu, Ruijie, et al.
Published: (2024)

Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation
by: Gao, Yuan, et al.
Published: (2026)

Confident Pseudo-labeled Diffusion Augmentation for Canine Cardiomegaly Detection
by: Zhang, Shiman, et al.
Published: (2025)

Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification
by: Zhang, Xuerong, et al.
Published: (2024)

Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting
by: Liu, Chuandong, et al.
Published: (2025)

Toward Scalable, Flexible Scene Flow for Point Clouds
by: Vedder, Kyle
Published: (2025)

Unsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment
by: Liu, Yexin, et al.
Published: (2024)