Learning interactive multi‐object segmentation through appearance embedding and spatial attention-Reference-Cited by-同舟云学术

Learning interactive multi‐object segmentation through appearance embedding and spatial attention

Published:2022-05 Issue:10 Volume:16 Page:2722-2737
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Gui Yan¹²^ORCID,Zhou Bingqiang¹²,Zhang Jianming¹²^ORCID,Sun Cheng³,Xiang Lingyun¹²^ORCID,Zhang Jin¹²^ORCID

Affiliation:

1. School of Computer and Communication Engineering Changsha University of Science and Technology Changsha China

2. Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and Technology Changsha China

3. School of Mathematics and Statistics Hunan Normal University Changsha China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12520

Reference53 articles.

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4. Gulshan V. Rother C. Criminisi A. et al.:Geodesic star convexity for interactive image segmentation. In:Proceedings of 23th IEEE Conference on Computer Vision and Pattern Recognition pp.3129–3136.IEEE Piscataway(2010)

5. Price B.L. Morse B. Cohen S.:Geodesic graph cut for interactive image segmentation. In:Proceedings of 23th IEEE Conference on Computer Vision and Pattern Recognition pp.3161–3168.IEEE Piscataway(2010)

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