Multi-level progressive parallel attention guided salient object detection for RGB-D images-Reference-Cited by-同舟云学术

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Multi-level progressive parallel attention guided salient object detection for RGB-D images

Published:2020-02-18 Issue:3 Volume:37 Page:529-540
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Liu Zhengyi^ORCID,Duan Quntao,Shi Song,Zhao Peng

Funder

Natural Science Foundation of Anhui Province

National Natural Science Foundation of China

Key Program of Natural Science Project of Educational Commission of Anhui Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s00371-020-01821-9.pdf

Reference52 articles.

1. Wu, P., Duan, L., Kong, L.: RGB-D salient object detection via feature fusion and multi-scale enhancement. In: CCF Chinese Conference on Computer Vision. Springer, pp. 359–368 (2015)

2. Ren, J., Gong, X., Yu, L., Zhou, W., Ying Yang, M.: Exploiting global priors for RGB-D saliency detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 25–32 (2015)

3. Ju, R., Ge, L., Geng, W., Ren, T., Wu, G.: Depth saliency based on anisotropic center-surround difference. In: IEEE International Conference on Image Processing, pp. 1115–1119 (2015)

4. Jiang, L., Koch, A., Zell, A.: Salient regions detection for indoor robots using RGB-D data. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 1323–1328. IEEE (2015)

5. Guo, J., Ren, T., Bei, J., Zhu, Y.: Salient object detection in RGB-D image based on saliency fusion and propagation. In: Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, p. 59. ACM (2015)

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