arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

3D 视觉

三维重建、NeRF、Gaussian Splatting、点云和空间智能。

2026-01-30 至 2026-01-30 共收录 2 信号源:cs.CV, cs.GR, cs.RO

1. 点云 2 篇

2512.08557 2026-01-30 cs.CV 79%

SSCATeR: Sparse Scatter-Based Convolution Algorithm with Temporal Data Recycling for Real-Time 3D Object Detection in LiDAR Point Clouds

SSCATeR: 基于稀疏散射的卷积算法与时间数据回收用于LiDAR点云中的实时3D物体检测

Alexander Dow, Manduhu Manduhu, Matheus Santos, Ben Bartlett, Gerard Dooly, James Riordan

机构 * Drone Systems Lab, School of Computing, Engineering and Physical Sciences, University of the West of Scotland(无人机系统实验室,计算、工程与物理科学学院,西方苏格兰大学) Centre for Robotics and Intelligent Systems, University of Limerick(机器人与智能系统中心,利默里克大学)

专题命中 点云 :point cloud(title,abstract);分类 cs.CV

AI总结 SSCATeR通过时间数据回收和稀疏散射卷积,实现LiDAR点云中实时3D物体检测的高效检测。

Comments 23 Pages, 27 Figures, This work has been accepted for publication by the IEEE Sensors Journal. Please see the first page of the article PDF for copyright information

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2403.14124 2026-01-30 cs.CV 79%

Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling

用于点云处理的软掩码Transformer与跳过注意力上采样

Yong He, Hongshan Yu, Chaoxu Mu, Mingtao Feng, Tongjia Chen, Zechuan Li, Anwaar Ulhaq, Ajmal Mian

机构 * Artificial Intelligence School, Anhui University(安徽大学人工智能学院) National Engineering Laboratory for Robot Visual Perception and Control Technology, College of Electrical and Information Engineering, Hunan University(机器人视觉感知与控制技术国家工程实验室,湖南大学电气与信息工程学院) Artificial Intelligence School, Xidian University(西安电子科技大学人工智能学院) Department of Computer Science, The University of Western Australia(西澳大学计算机科学系) Central Queensland University(中央昆士兰大学)

专题命中 点云 :point cloud(title,abstract);分类 cs.CV

AI总结 SMTransformer通过整合任务级信息和跳过注意力上采样提升点云处理性能,实现S3DIS和SWAN数据集上的高精度语义分割。

Comments Conditionally accepted by IEEE Transactions on Automation Science and Engineering

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