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[1] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[2] Sen Jia,et al. Richer and Deeper Supervision Network for Salient Object Detection , 2019, ArXiv.
[3] Shi-Min Hu,et al. Global contrast based salient region detection , 2011, CVPR 2011.
[4] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Yee Whye Teh,et al. Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation , 2006, Cogn. Sci..
[6] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[8] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] James M. Rehg,et al. The Secrets of Salient Object Segmentation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Geoffrey E. Hinton,et al. Dynamic Routing Between Capsules , 2017, NIPS.
[11] Ming-Hsuan Yang,et al. PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[12] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[13] Sen Jia,et al. EML-NET: An Expandable Multi-Layer NETwork for Saliency Prediction , 2018, Image Vis. Comput..
[14] Junwei Han,et al. PiCANet: Learning Pixel-wise Contextual Attention in ConvNets and Its Application in Saliency Detection , 2017, ArXiv.
[15] Neil D. B. Bruce,et al. Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[16] Yoshua Bengio,et al. ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks , 2015, ArXiv.
[17] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Huchuan Lu,et al. Learning to Detect Salient Objects with Image-Level Supervision , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Rita Cucchiara,et al. Predicting Human Eye Fixations via an LSTM-Based Saliency Attentive Model , 2016, IEEE Transactions on Image Processing.
[21] Hongjing Lu,et al. Deep convolutional networks do not classify based on global object shape , 2018, PLoS Comput. Biol..
[22] Graham W. Taylor,et al. Adaptive deconvolutional networks for mid and high level feature learning , 2011, 2011 International Conference on Computer Vision.
[23] Yang Wang,et al. Gated Feedback Refinement Network for Dense Image Labeling , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Zachary Chase Lipton. The mythos of model interpretability , 2016, ACM Queue.
[25] Huchuan Lu,et al. Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[26] 한보형,et al. Learning Deconvolution Network for Semantic Segmentation , 2015 .
[27] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Pascal Vincent,et al. Visualizing Higher-Layer Features of a Deep Network , 2009 .
[29] Samy Bengio,et al. Understanding deep learning requires rethinking generalization , 2016, ICLR.