Cover Image

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Chengzhi, Huang, Qianliang, Jin, Kun, Pfrommer, Julius, Beyerer, Jürgen
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

Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach
by: Wu, Chengzhi, et al.
Published: (2023)

Rethinking Attention Module Design for Point Cloud Analysis
by: Wu, Chengzhi, et al.
Published: (2024)

SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
by: Wu, Chengzhi, et al.
Published: (2025)

6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly
by: Wu, Chengzhi, et al.
Published: (2025)

Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration
by: Shi, Haihua, et al.
Published: (2023)

CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding
by: Liu, Yunze, et al.
Published: (2024)

Dual-Branch Center-Surrounding Contrast: Rethinking Contrastive Learning for 3D Point Clouds
by: Zhang, Shaofeng, et al.
Published: (2025)

Constrained Multiview Representation for Self-supervised Contrastive Learning
by: Dai, Siyuan, et al.
Published: (2024)

Graph Matching Optimization Network for Point Cloud Registration
by: Wu, Qianliang, et al.
Published: (2023)

SGNet: Salient Geometric Network for Point Cloud Registration
by: Wu, Qianliang, et al.
Published: (2023)

Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
by: Cai, Mu, et al.
Published: (2024)

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
by: Zhang, Yabin, et al.
Published: (2022)

Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
by: Zha, Yaohua, et al.
Published: (2024)

Slimmable Networks for Contrastive Self-supervised Learning
by: Zhao, Shuai, et al.
Published: (2022)

PMT-MAE: Dual-Branch Self-Supervised Learning with Distillation for Efficient Point Cloud Classification
by: Zheng, Qiang, et al.
Published: (2024)

PointCG: Self-supervised Point Cloud Learning via Joint Completion and Generation
by: Liu, Yun, et al.
Published: (2024)

Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface
by: Tian, Hui, et al.
Published: (2023)

Joint Spatial-Temporal Modeling and Contrastive Learning for Self-supervised Heart Rate Measurement
by: Qian, Wei, et al.
Published: (2024)

Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
by: Ren, Bin, et al.
Published: (2024)

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning
by: Wang, Chuxin, et al.
Published: (2025)

Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration
by: Wang, Xingmei, et al.
Published: (2025)

Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
by: Zhang, Yifan, et al.
Published: (2024)

PointCSP: Cross-Sample Semantic Propagation and Stability Preservation in Self-Supervised Point Cloud Learning
by: Yu, Xinxing, et al.
Published: (2026)

Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding
by: Zha, Yixin, et al.
Published: (2025)

RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
by: Su, Kunming, et al.
Published: (2024)

PointSmile: Point Self-supervised Learning via Curriculum Mutual Information
by: Li, Xin, et al.
Published: (2023)

GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
by: Wang, Chengyao, et al.
Published: (2024)

A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
by: Wang, Wei-Chien, et al.
Published: (2023)

Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation
by: Figueiras, Hugo, et al.
Published: (2024)

Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
by: Zhang, Yong, et al.
Published: (2024)

A Survey on Deep Learning Techniques for Action Anticipation
by: Zhong, Zeyun, et al.
Published: (2023)

GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning
by: Liu, Keyi, et al.
Published: (2024)

PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling
by: Chen, Xingye, et al.
Published: (2022)

EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding
by: Pan, Zhiyi, et al.
Published: (2024)

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner
by: Chen, Zhimin, et al.
Published: (2023)

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

HumanReg: Self-supervised Non-rigid Registration of Human Point Cloud
by: Chen, Yifan, et al.
Published: (2023)

Point2Vec for Self-Supervised Representation Learning on Point Clouds
by: Knaebel, Karim, et al.
Published: (2023)

Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
by: Sun, Hongyu, et al.
Published: (2024)

Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
by: Hassanpour, Jamshid, et al.
Published: (2024)