[1] Kim J, Han D, Tai Y W et al. Salient region detection via high-dimensional color transform and local spatial support[J]. IEEE Transactions on Image Processing, 25, 9-23(2016).

[2] Cheng M M, Mitra N J, Huang X et al. Global contrast based salient region detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 569-582(2015). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6871397

[3] Zhu W J, Liang S, Wei Y C et al. Saliency optimization from robust background detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2814-2821(2014).

[4] Jiang H Z, Wang J D, Yuan Z J et al. Salient object detection: a discriminative regional feature integration approach[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2083-2090(2013).

[5] Yan Q, Xu L, Shi J P et al. Hierarchical saliency detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, 1155-1162(2013).

[6] Liu R S, Cao J J, Lin Z S et al. Adaptive partial differential equation learning for visual saliency detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, 3866-3873(2014).

[7] Jiang P, Vasconcelos N, Peng J L. Generic promotion of diffusion-based salient object detection[C]. IEEE International Conference on Computer Vision, 217-225(2015).

[8] Liu Dawei, Han Ling, Han Xiaoyong. High spatial resolution remote sensing imaging classification based on deep learning[J]. Acta Optica Sinica, 36, 0428001(2016).

[9] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. IEEE Conference on Computer Vision and Pattern Recognition, 580-587(2014).

[10] Taigman Y, Yang M, Ranzato M A et al. Deepface: closing the gap to human-level performance in face verification[C]. IEEE Conference on Computer Vision and Pattern Recognition, 1701-1708(2014).

[11] Wang L J, Lu H C, Ruan X et al. Deep networks for saliency detection via local estimation and global search[C]. IEEE Conference on Computer Vision and Pattern Recognition, 3183-3192(2015).

[12] Lee G, Tai Y W, Kim J. Deep saliency with encoded low level distance map and high level features[C]. IEEE Conference on Computer Vision and Pattern Recognition, 660-668(2016).

[13] Liu N, Han J W. DHSNet: deep hierarchical saliency network for salient object detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, 678-686(2016).

[14] Li G B, Yu Y Z. Visual saliency based on multiscale deep features[C]. IEEE Conference on Computer Vision and Pattern Recognition, 5455-5463(2015).

[15] Zhao R, Ouyang W L, Li H S et al. Saliency detection by multi-context deep learning[C]. IEEE Conference on Computer Vision and Pattern Recognition, 1265-1274(2015).

[16] Liu Feng, Shen Tongsheng, Han Yanli et al. Saliency detection via background aware and color contrast[J]. Journal of Computer-Aided Design & Computer Graphics, 28, 1705-1712(2016).

[17] Krähenbühl P, Koltun V. Efficient inference in fully connected CRFs with Gaussian edge potentials[C]. Advances in Neural Information Processing Systems, 109-117(2011).

[18] Jia Y Q, Shelhamer E, Donahue J et al. Caffe: convolutional architecture for fast feature embedding[C]. 22nd ACM International Conference on Multimedia, ACM, 675-678(2014).

[19] Margolin R, Tal A, Zelnik-Manor L. What makes a patch distinct?[C]. IEEE Conference on Computer Vision and Pattern Recognition, 1139-1146(2013).

[20] Li Y, Hou X D, Koch C et al. The secrets of salient object segmentation[C]. IEEE Conference on Computer Vision and Pattern Recognition, 280-287(2014).