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第6期 申凯，等：基于双向消息链路卷积网络的显著性物体检测 ·1161· ceedings of 2016 IEEE Conference on Computer Vision ual attention network for image classification[C]//Pro- and Pattern Recognition.Las Vegas,USA,2016: ceedings of 2017 IEEE Conference on Computer Vision 660-668. and Pattern Recognition.Honolulu,USA,2017:6450- [24]LIU Nian,HAN Junwei.DHSNet:deep hierarchical sali- 6458. ency network for salient object detection[C]//Proceedings [35]XU K,BA J,KIROS R,et al.Show,attend and tell:neur- of 2016 IEEE Conference on Computer Vision and Pat- al image caption generation with visual attention[J].Com- tern Recognition.Las Vegas,USA,2016:678-686. puter science,arXiv:1502.03044,2015 [25]XIAO Fen,DENG Wenzheng,PENG Liangchan,et al. [36]SIMONYAN K,VEDALDI A,ZISSERMAN A.Deep in- Multi-scale deep neural network for salient object detec- side convolutional networks:visualising image classifica- tion[J].IET image processing,2018,12(11):2036-2041. tion models and saliency maps[J].Computer science, [26]HOU Qibin,CHENG Mingming,HU Xiaowei,et al. 2013. Deeply supervised salient object detection with short con- [37]ZERIER M D,FERGUS R.Visualizing and understand- nections[C]//Proceedings of 2017 IEEE Conference on ing convolutional networks[J].Computer science,2013. Computer Vision and Pattern Recognition.Honolulu, [38]MAHENDRAN A,VEDALDI A.Understanding deep USA.2017:5300-5309 image representations by inverting them[C]//Proceedings [27]ZHANG Pingping,WANG Dong,LU Huchuan,et al. of 2015 IEEE Conference on Computer Vision and Pat- Amulet:aggregating multi-level convolutional features tern Recognition.Boston,USA,2015:5188-5196. for salient object detection[C]//Proceedings of 2017IEEE [39]WANG Lijun,OUYANG Wanli,WANG Xiaogang,et al. International Conference on Computer Vision.Venice, Visual tracking with fully convolutional networks[C]/Pro- Italy,.2017:202-211. ceedings of 2015 IEEE International Conference on Com- [28]JIN Xiaojie,CHEN Yunpeng,FENG Jiashi,et al.Multi- puter Vision.Santiago,Chile,2015:3119-3127. path feedback recurrent neural network for scene [40]ZHANG Pingping,WANG Dong,LU Huchuan,et al. parsing[J].Computer science,arXiv:1608.07706,2016. Learning uncertain convolutional features for accurate sa- [29]CHEN Long,ZHANG Hanwang,XIAO Jun,et al.SCA- liency detection[C]//Proceedings of 2017 IEEE Interna- CNN:spatial and channel-wise attention in convolutional tional Conference on Computer Vision.Venice,Italy, networks for image captioning[C]//Proceedings of 2017 2017:212-221. IEEE Conference on Computer Vision and Pattern Recog- [41]YANG Chuan,ZHANG Lihe,LU Huchuan,et al.Sali- nition.Honolulu.USA.2017:6298-6306. ency detection via graph-based manifold ranking[C]//Pro- [30]LONG J,SHELHAMER E,DARRELL T.Fully convolu- ceedings of 2013 IEEE Conference on Computer Vision tional networks for semantic segmentation[C]//Proceed- and Pattern Recognition.Portland,USA,2013:3166- ings of 2015 IEEE Conference on Computer Vision and 3173. Pattern Recognition.Boston,USA,2015:3431-3440 [42]LI Yin,HOU Xiaodi,KOCH C,et al.The secrets of sali- [31]YAN Qiong.XU Li,SHI Jianping,et al.Hierarchical sali- ent object segmentation[C]//Proceedings of 2014 IEEE ency detection[C]//Proceedings of 2013 IEEE Confer- Conference on Computer Vision and Pattern Recognition. ence on Computer Vision and Pattern Recognition.Port- Columbus,USA,2014:280-287. land,USA,2013:1155-1162 [43]EVERINGHAM M,VAN GOOL L,WILLIAMS C K I. [32]YANG Zichao,HE Xiaodong,GAO Jianfeng,et al. et al.The Pascal visual object classes (VOC)challenge[J]. Stacked attention networks for image question International journal of computer vision,2010,88(2): answering[C]//Proceedings of 2016 IEEE Conference on 303-338. Computer Vision and Pattern Recognition.Las Vegas, [44]GLOROT X,BENGIO Y.Understanding the difficulty of USA,2016:21-29. training deep feedforward neural networks[C]//Proceed- [33]XU Huijuan,SAENKO K.Ask,attend and answer:ex- ings of the 13th International Conference on Artificial In- ploring question-guided spatial attention for visual ques- telligence and Statistics.Sardinia,Italy,2010:249-256. tion answering[J].Computer science,arXiv:1511.05234, [45]TONG Na,LU Huchuan,RUAN Xiang,et al.Salient ob- 2015. ject detection via bootstrap learning[C]//Proceedings of [34]WANG Fei,JIANG Mengqing,QIAN Chen,et al.Resid- 2015 IEEE Conference on Computer Vision and Patternceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, USA, 2016: 660–668. LIU Nian, HAN Junwei. DHSNet: deep hierarchical saliency network for salient object detection[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, USA, 2016: 678–686. [24] XIAO Fen, DENG Wenzheng, PENG Liangchan, et al. Multi-scale deep neural network for salient object detection[J]. IET image processing, 2018, 12(11): 2036–2041. [25] HOU Qibin, CHENG Mingming, HU Xiaowei, et al. Deeply supervised salient object detection with short connections[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA, 2017: 5300–5309. [26] ZHANG Pingping, WANG Dong, LU Huchuan, et al. Amulet: aggregating multi-level convolutional features for salient object detection[C]//Proceedings of 2017 IEEE International Conference on Computer Vision. Venice, Italy, 2017: 202–211. [27] JIN Xiaojie, CHEN Yunpeng, FENG Jiashi, et al. Multipath feedback recurrent neural network for scene parsing[J]. Computer science, arXiv: 1608.07706, 2016. [28] CHEN Long, ZHANG Hanwang, XIAO Jun, et al. SCACNN: spatial and channel-wise attention in convolutional networks for image captioning[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA, 2017: 6298–6306. [29] LONG J, SHELHAMER E, DARRELL T. Fully convolutional networks for semantic segmentation[C]//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. Boston, USA, 2015: 3431–3440. [30] YAN Qiong, XU Li, SHI Jianping, et al. Hierarchical saliency detection[C]//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, USA, 2013: 1155–1162. [31] YANG Zichao, HE Xiaodong, GAO Jianfeng, et al. Stacked attention networks for image question answering[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, USA, 2016: 21–29. [32] XU Huijuan, SAENKO K. Ask, attend and answer: exploring question-guided spatial attention for visual question answering[J]. Computer science, arXiv: 1511.05234, 2015. [33] [34] WANG Fei, JIANG Mengqing, QIAN Chen, et al. Residual attention network for image classification[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA, 2017: 6450– 6458. XU K, BA J, KIROS R, et al. Show, attend and tell: neural image caption generation with visual attention[J]. Computer science, arXiv: 1502.03044, 2015. [35] SIMONYAN K, VEDALDI A, ZISSERMAN A. Deep inside convolutional networks: visualising image classification models and saliency maps[J]. Computer science, 2013. [36] ZERIER M D, FERGUS R. Visualizing and understanding convolutional networks[J]. Computer science, 2013. [37] MAHENDRAN A, VEDALDI A. Understanding deep image representations by inverting them[C]//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. Boston, USA, 2015: 5188–5196. [38] WANG Lijun, OUYANG Wanli, WANG Xiaogang, et al. Visual tracking with fully convolutional networks[C]/Proceedings of 2015 IEEE International Conference on Computer Vision. Santiago, Chile, 2015: 3119–3127. [39] ZHANG Pingping, WANG Dong, LU Huchuan, et al. Learning uncertain convolutional features for accurate saliency detection[C]//Proceedings of 2017 IEEE International Conference on Computer Vision. Venice, Italy, 2017: 212–221. [40] YANG Chuan, ZHANG Lihe, LU Huchuan, et al. Saliency detection via graph-based manifold ranking[C]//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, USA, 2013: 3166– 3173. [41] LI Yin, HOU Xiaodi, KOCH C, et al. The secrets of salient object segmentation[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, USA, 2014: 280–287. [42] EVERINGHAM M, VAN GOOL L, WILLIAMS C K I, et al. The Pascal visual object classes (VOC) challenge[J]. International journal of computer vision, 2010, 88(2): 303–338. [43] GLOROT X, BENGIO Y. Understanding the difficulty of training deep feedforward neural networks[C]//Proceedings of the 13th International Conference on Artificial Intelligence and Statistics. Sardinia, Italy, 2010: 249–256. [44] TONG Na, LU Huchuan, RUAN Xiang, et al. Salient object detection via bootstrap learning[C]//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern [45] 第 6 期 申凯，等：基于双向消息链路卷积网络的显著性物体检测 ·1161·