Acta Optica Sinica, Volume. 39, Issue 9, 0915005(2019)
Salient Object Detection Algorithm Based on Dual-Attention Recurrent Convolution
[3] Guo C L, Ma Q, Zhang L M. Spatio-temporal saliency detection using phase spectrum of quaternion Fourier transform. [C]∥2008 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), June 23-28, 2008, Anchorage, AK, USA. New York: IEEE, 4587715(2008).
[4] Courty N, Marchand E. Visual perception based on salient features. [C]∥Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), October 27-31, 2003, Las Vegas, Nevada, USA. New York: IEEE, 1024-1029(2003).
[10] Hou Q B, Cheng M M, Hu X W et al. Deeply supervised salient object detection with short connections. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 5300-5309(2017).
[11] Xie S N, Tu Z W. Holistically-nested edge detection. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1395-1403(2015).
[12] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. ∥Navab N, Hornegger J, Wells W,
[13] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 3431-3440(2015).
[14] Zhang X N, Wang T T, Qi J Q et al. Progressive attention guided recurrent network for salient object detection. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT. New York: IEEE, 714-722(2018).
[15] Kim H J, Dunn E, Frahm J M. Learned contextual feature reweighting for image geo-localization. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 3251-3260(2017).
[16] Liu S T, Huang D, Wang Y H. Receptive field block net for accurate and fast object detection[M]. ∥Ferrari V, Hebert M, Sminchisescu C,
[17] Szegedy C, Ioffe S, Vanhoucke V et al. Inception-v4, inception-resnet and the impact of residual connections on learning[C]∥31st AAAI Conference on Artificial Intelligence, February 4-10, 2017, San Francisco., 4278-4284(2017).
[18] Hu J, Shen L, Sun G. Squeeze-and-excitation networks. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT. New York: IEEE, 7132-7141(2018).
[19] Liang M, Hu X L. Recurrent convolutional neural network for object recognition. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 3367-3375(2015).
[20] Liu N, Han J W. DHSNet: deep hierarchical saliency network for salient object detection. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 678-686(2016).
[21] Tang Y B, Wu X Q, Bu W. Deeply-supervised recurrent convolutional neural network for saliency detection. [C]∥The 24th ACM International Conference on Multimedia, October 15-19, 2016, Amsterdam, Netherlands. USA: ACM, 397-401(2016).
[22] Yan Q, Xu L, Shi J P et al. Hierarchical saliency detection. [C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 23-28, 2013, Portland, OR, USA. New York: IEEE, 1155-1162(2013).
[23] Li G B, Yu Y Z. Visual saliency based on multiscale deep features. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 5455-5463(2015).
[24] Yang C, Zhang L H, Lu H C et al. Saliency detection via graph-based manifold ranking. [C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 23-28, 2013, Portland, OR, USA. New York: IEEE, 3166-3173(2013).
[25] Achanta R, Hemami S, Estrada F et al. Frequency-tuned salient region detection. [C]∥2009 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009, Miami, FL, USA. New York: IEEE, 1597-1604(2009).
[26] Wang T T, Borji A, Zhang L H et al. A stagewise refinement model for detecting salient objects in images. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice. New York: IEEE, 4019-4028(2017).
[27] Zhang P P, Wang D, Lu H C et al. Amulet: aggregating multi-level convolutional features for salient object detection. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice. New York: IEEE, 202-211(2017).
[28] Zhang P P, Wang D, Lu H C et al. Learning uncertain convolutional features for accurate saliency detection. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice. New York: IEEE, 212-221(2017).
[29] Wang T T, Zhang L H, Lu H C. et al. Kernelized subspace ranking for saliency detection[M]. ∥Leibe B, Matas J, Sebe N,
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Xueli Xie, Chuanxiang Li, Xiaogang Yang, Jianxiang Xi. Salient Object Detection Algorithm Based on Dual-Attention Recurrent Convolution[J]. Acta Optica Sinica, 2019, 39(9): 0915005
Category: Machine Vision
Received: Mar. 11, 2019
Accepted: May. 23, 2019
Published Online: Sep. 9, 2019
The Author Email: Xi Jianxiang (xijx07@mails.tsinghua.edu.cn)