LaserMix for Semi-Supervised LiDAR Semantic Segmentation-Reference-Cited by-同舟云学术

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Kong Lingdong¹,Ren Jiawei¹,Pan Liang¹,Liu Ziwei¹

Affiliation:

1. Nanyang Technological University,S-Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205234.pdf?arnumber=10205234

Reference60 articles.

1. Are we hungry for 3d lidar data for semantic segmentation? a survey of datasets and methods;gao;IEEE Trans-actions on Intelligent Transportation Systems,2021

2. FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding

3. Semi-supervised semantic segmentation needs strong, high-dimensional perturbations;french;British Machine Vision Conference (BMVC),0

4. PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

5. Are we ready for autonomous driving? The KITTI vision benchmark suite

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey on occupancy perception for autonomous driving: The information fusion perspective;Information Fusion;2025-02

2. Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization;Pattern Recognition;2024-12

3. TSG-Seg: Temporal-selective guidance for semi-supervised semantic segmentation of 3D LiDAR point clouds;ISPRS Journal of Photogrammetry and Remote Sensing;2024-10

4. MIINet: a multi-branch information interaction network for few-shot segmentation;Signal, Image and Video Processing;2024-09-02

5. Addressing Noisy Pixels in Weakly Supervised Semantic Segmentation with Weights Assigned;Mathematics;2024-08-15