Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-58523-5_33
Reference40 articles.
1. Armeni, I., et al.: 3D semantic parsing of large-scale indoor spaces. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016)
2. Brabandere, B.D., Neven, D., Gool, L.V.: Semantic instance segmentation with a discriminative loss function. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)
3. Dai, A., Chang, A.X., Savva, M., Halber, M., Funkhouser, T., Nießner, M.: ScanNet: richly-annotated 3D reconstructions of indoor scenes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)
4. Dai, A., Nießner, M.: 3DMV: joint 3D-multi-view prediction for 3D semantic scene segmentation. In: Proceedings of the European Conference on Computer Vision (2018)
5. Dai, J., He, K., Sun, J.: Instance-aware semantic segmentation via multi-task network cascades. In: Proceedings of the European Conference on Computer Vision (2016)
Cited by 28 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. Semantic segmentation of large-scale point clouds by integrating attention mechanisms and transformer models;Image and Vision Computing;2024-06
2. Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning;Remote Sensing of Environment;2024-05
3. WHU-Urban3D: An urban scene LiDAR point cloud dataset for semantic instance segmentation;ISPRS Journal of Photogrammetry and Remote Sensing;2024-03
4. Joint prototype and coefficient prediction for 3D instance segmentation;Electronics Letters;2024-02-26
5. Deep learning-based semantic segmentation of three-dimensional point cloud: a comprehensive review;International Journal of Remote Sensing;2024-01-17
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3