UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation

Author:

Yang Guoqing1ORCID,Xue Fuyou1ORCID,Zhang Qi1ORCID,Xie Ke1ORCID,Fu Chi-Wing2ORCID,Huang Hui1ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, China

2. Department of Computer Science and Engineering, The Chinese University of Hong Kong, China

Funder

NSFC

GD Talent Program

DEGP Innovation Team

Shenzhen Science and Technology Program

Publisher

ACM

Reference55 articles.

1. Iro Armeni , Sasha Sax , Amir  R. Zamir , and Silvio Savarese . 2017. Joint 2D-3D-Semantic Data for Indoor Scene Understanding. arXiv:1702.01105 ( 2017 ). Iro Armeni, Sasha Sax, Amir R. Zamir, and Silvio Savarese. 2017. Joint 2D-3D-Semantic Data for Indoor Scene Understanding. arXiv:1702.01105 (2017).

2. Mehmet Aygun , Aljosa Osep , Mark Weber , Maxim Maximov , Cyrill Stachniss , Jens Behley , and Laura Leal-Taixe . 2021 . 4D Panoptic LiDAR Segmentation . In Proc. IEEE/CVF Conf. on Computer Vision & Pattern Recognition. 5527–5537 . Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, and Laura Leal-Taixe. 2021. 4D Panoptic LiDAR Segmentation. In Proc. IEEE/CVF Conf. on Computer Vision & Pattern Recognition. 5527–5537.

3. Jens Behley , Martin Garbade , Andres Milioto , Jan Quenzel , Sven Behnke , Cyrill Stachniss , and Jurgen Gall . 2019 . SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences . In Proc. Int. Conf. on Computer Vision. 9297–9307 . Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall. 2019. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. In Proc. Int. Conf. on Computer Vision. 9297–9307.

4. F Biljecki and Y Dehbi . 2019. Raise the roof: towards generating LoD2 models without aerial surveys using machine learning. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ( 2019 ), 27–34. F Biljecki and Y Dehbi. 2019. Raise the roof: towards generating LoD2 models without aerial surveys using machine learning. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2019), 27–34.

5. Aleksey Boyko and Thomas Funkhouser . 2014 . Cheaper by the Dozen: Group Annotation of 3D Data . In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, 33––42 . Aleksey Boyko and Thomas Funkhouser. 2014. Cheaper by the Dozen: Group Annotation of 3D Data. In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, 33––42.

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