Information recombination network for contour detection-Reference-Cited by-同舟云学术

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Information recombination network for contour detection

Published:2022-07-18 Issue:3 Volume:82 Page:3895-3910
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Wen Zeqi,Lin Chuan^ORCID,Li Fuzhang,Cui Linhao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Zhuang Autonomous Region

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13430-w.pdf

Reference34 articles.

1. Abramatic JF (1981) Why the simplest “Hueckel” edge detector is a Roberts operator. Computer Graphics & Image Processing 17(1):79–83. https://doi.org/10.1016/S0146-664X(81)80011-1

2. Arbelaez P, Maire M, Fowlkes C, Malik J (2011) Contour detection and hierarchical image segmentation. IEEE Trans Pattern Anal Mach Intell 33(5):898–916. https://doi.org/10.1109/TPAMI.2010.161

3. Arbelaez P, Pont-Tuset J, Barron J, Marques F, and Malik J (2014) Multiscale combinatorial grouping. 2014 IEEE conference on computer vision and pattern recognition (CVPR), pp 328-335. https://doi.org/10.1109/CVPR.2014.49

4. Baldeon-Calisto M, Lai-Yuen SK (2020) AdaResU-net: multiobjective adaptive convolutional neural network for medical image segmentation. Neurocomputing. 392:325–340. https://doi.org/10.1016/j.neucom.2019.01.110

5. Bertasius G, Shi J, and Torresani L (2015) Deepedge: a multi-scale bifurcated deep network for top-down contour detection. Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4380-4389. https://doi.org/10.1109/CVPR.2015.7299067

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