Residual feature pyramid networks for salient object detection-Reference-Cited by-同舟云学术

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Residual feature pyramid networks for salient object detection

Published:2019-12-10 Issue:9 Volume:36 Page:1897-1908
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Wang Ben,Chen Shuhan,Wang Jian,Hu Xuelong

Funder

Natural Science Foundation of China

Jiangsu Province 7th Projects for Summit Talents in Six Main Industries, Electronic Information Industry

Foundation of Yangzhou University

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/s00371-019-01779-3.pdf

Reference60 articles.

1. Wei, Y., Liang, X., Chen, Y., Shen, X., Cheng, M.M., Feng, J., Zhao, Y., Yan, S.: Stc: a simple to complex framework for weakly-supervised semantic segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(11), 2314–2320 (2017)

2. Choi, J., Chang, H.J., Fischer, T., Yun, S., Lee, K., Jeong, J., Demiris, Y., Choi, J.Y.: Context-aware deep feature compression for high-speed visual tracking. In: CVPR, pp. 479–488 (2018)

3. Liu, T., Yuan, Z., Sun, J., Wang, J., Zheng, N., Tang, X., Shum, H.-Y.: Learning to detect a salient object. IEEE Trans. Pattern Anal. Mach. Intell. 33(2), 353–367 (2011)

4. Yang, C., Zhang, L., Lu, H., Ruan, X., Yang, M.-H.: Saliency detection via graph-based manifold ranking. In: CVPR (2013)

5. Zhu, W., Liang, S., Wei, Y., Sun, J.: Saliency optimization from robust background detection. In: CVPR (2014)

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