Weakly Supervised Segmentation of Small Buildings with Point Labels

Jae Hun Lee; Chan Young Kim; Sanghoon Sull

doi:10.1109/ICCV48922.2021.00731

Weakly Supervised Segmentation of Small Buildings with Point Labels

Jae Hun Lee, Chan Young Kim, Sanghoon Sull

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

17 Citations (Scopus)

Abstract

Most supervised image segmentation methods require delicate and time-consuming pixel-level labeling of building or objects, especially for small objects. In this paper, we present a weakly supervised segmentation network for aerial/satellite images, separately considering small and large objects. First, we propose a simple point labeling method for small objects, while large objects are fully labeled. Then, we present a segmentation network trained with a small object mask to separate small and large objects in the loss function. During training, we employ a memory bank to cope with the limited number of point labels. Experiments results with three public datasets demonstrate the feasibility of our approach.

Original language	English
Title of host publication	Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7386-7395
Number of pages	10
ISBN (Electronic)	9781665428125
DOIs	https://doi.org/10.1109/ICCV48922.2021.00731
Publication status	Published - 2021
Event	18th IEEE/CVF International Conference on Computer Vision, ICCV 2021 - Virtual, Online, Canada Duration: 2021 Oct 11 → 2021 Oct 17

Publication series

Name	Proceedings of the IEEE International Conference on Computer Vision
ISSN (Print)	1550-5499

Conference

Conference	18th IEEE/CVF International Conference on Computer Vision, ICCV 2021
Country/Territory	Canada
City	Virtual, Online
Period	21/10/11 → 21/10/17

Bibliographical note

Funding Information:
Acknowledgements. This work was conducted by Center for Applied Research in Artificial Intelligence (CARAI) grant funded by Defense Acquisition Program Administration (DAPA) and Agency for Defense Development (ADD) (UD190031RD).

Publisher Copyright:
© 2021 IEEE

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICCV48922.2021.00731

Cite this

Lee, J. H., Kim, C. Y., & Sull, S. (2021). Weakly Supervised Segmentation of Small Buildings with Point Labels. In Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021 (pp. 7386-7395). (Proceedings of the IEEE International Conference on Computer Vision). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCV48922.2021.00731

Weakly Supervised Segmentation of Small Buildings with Point Labels. / Lee, Jae Hun; Kim, Chan Young; Sull, Sanghoon.
Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 7386-7395 (Proceedings of the IEEE International Conference on Computer Vision).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, JH, Kim, CY & Sull, S 2021, Weakly Supervised Segmentation of Small Buildings with Point Labels. in Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Proceedings of the IEEE International Conference on Computer Vision, Institute of Electrical and Electronics Engineers Inc., pp. 7386-7395, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, Virtual, Online, Canada, 21/10/11. https://doi.org/10.1109/ICCV48922.2021.00731

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Weakly Supervised Segmentation of Small Buildings with Point Labels

Abstract

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Bibliographical note

ASJC Scopus subject areas

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