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Deep level sets for salient object detection

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Deep level sets for salient object detection. / Hu, P.; Shuai, B.; Liu, Jun et al.
Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. IEEE, 2017. p. 540-549.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Hu, P, Shuai, B, Liu, J & Wang, G 2017, Deep level sets for salient object detection. in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. IEEE, pp. 540-549. https://doi.org/10.1109/CVPR.2017.65

APA

Hu, P., Shuai, B., Liu, J., & Wang, G. (2017). Deep level sets for salient object detection. In Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 (pp. 540-549). IEEE. https://doi.org/10.1109/CVPR.2017.65

Vancouver

Hu P, Shuai B, Liu J, Wang G. Deep level sets for salient object detection. In Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. IEEE. 2017. p. 540-549 doi: 10.1109/CVPR.2017.65

Author

Hu, P. ; Shuai, B. ; Liu, Jun et al. / Deep level sets for salient object detection. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. IEEE, 2017. pp. 540-549

Bibtex

@inproceedings{86cf094998474b9f953dd09672d37d10,
title = "Deep level sets for salient object detection",
author = "P. Hu and B. Shuai and Jun Liu and G. Wang",
year = "2017",
month = jul,
day = "26",
doi = "10.1109/CVPR.2017.65",
language = "English",
pages = "540--549",
booktitle = "Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Deep level sets for salient object detection

AU - Hu, P.

AU - Shuai, B.

AU - Liu, Jun

AU - Wang, G.

PY - 2017/7/26

Y1 - 2017/7/26

U2 - 10.1109/CVPR.2017.65

DO - 10.1109/CVPR.2017.65

M3 - Conference contribution/Paper

SP - 540

EP - 549

BT - Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017

PB - IEEE

ER -