[1]SHEHNAZ M,NAVEEN N.An object recognition algorithm with structure-guided saliency detection and SVM classifier[C]//Proceedings of 2015 International Conference on Power,Instrumentation,Control and Computing.Washington D.C.,USA:IEEE Press,2015:1-4.
[2]ZHANG F,DU B,ZHANG L.Saliency-guided unsupervised feature learning for scene classification[J].IEEE Tran-sactions on Geoscience and Remote Sensing,2015,53(4):2175-2184.
[3]ZHAO R,OUYANG W,WANG X.Unsupervised salience learning for person re-identification[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:3586-3593.
[4]GUO D,TANG J,CUI Y,et al.Saliency-based content-aware lifestyle image mosaics[J].Journal of Visual Communication and Image Representation,2015,26:192-199.
[5]冯松鹤,郎丛妍,须德.一种融合图学习与区域显著性分析的图像检索算法[J].电子学报,2011,39(10):2288-2294.
[6]SHEN X,WU Y.A unified approach to salient object detection via low rank matrix recovery[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2012:853-860.
[7]ZHU W,LIANG S,WEI Y,et al.Saliency optimization from robust background detection[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2014:2814-2821.
[8]袁巧,程艳芬,陈先桥.多先验特征与综合对比度的图像显著性检测[J].中国图象图形学报,2018,23(2):239-248.
[9]WANG L,LU H,RUAN X,et al.Deep networks for saliency detection via local estimation and global search[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:3183-3192.
[10]高东东,张新生.基于空间卷积神经网络模型的图像显著性检测[J].计算机工程,2018,44(5):246-251.
[11]KIM J,PAVLOVIC V.A shape preserving approach for salient object detection using convolutional neural networks[C]//Proceedings of the 23rd International Con-ference on Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:609-614.
[12]LONG J,SHELHAMER E,DARRELL T.Fully convolutional networks for semantic segmentation[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:3431-3440.
[13]LIU T,SUN J,ZHENG N N,et al.Learning to detect a salient object[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2007:1-8.
[14]YANG C,ZHANG L,LU H,et al.Saliency detection via graph-based manifold ranking[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:3166-3173.
[15]YAN Q,XU L,SHI J,et al.Hierarchical saliency detec-tion[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:1155-1162.
[16]ALPERT S,GALUN M,BASRI R,et al.Image segmentation by probabilistic bottom-up aggregation and cue integration[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(2):315-327.
[17]ACHANTA R,SSSTRUNK S.Saliency detection using maximum symmetric surround[C]//Proceedings of IEEE International Conference on Image Processing.Washington D.C.,USA:IEEE Press,2010:2653-2656.
[18]MARGOLIN R,TAL A,ZELNIK-MANOR L.What makes a patch distinct[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:1139-1146.
[19]YANG C,ZHANG L,LU H.Graph-regularized saliency detection with convex-hull-based center prior [J].IEEE Signal Processing Letters,2013,20(7):637-640.
[20]JIANG B,ZHANG L,LU H,et al.Saliency detection via absorbing markov chain[C]//Proceedings of IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2013:1665-1672.
[21]JIANG H,WANG J,YUAN Z,et al.Salient object detection:a discriminative regional feature integration approach [C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:2083-2090. |