Co-Occurrent Features in Semantic Segmentation
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Han Zhang | Junyuan Xie | Hang Zhang | Chenguang Wang | Junyuan Xie | Han Zhang | Chenguang Wang | Hang Zhang | Han Zhang
[1] Subhransu Maji,et al. Deep filter banks for texture recognition and segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Bolei Zhou,et al. Scene Parsing through ADE20K Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Zellig S. Harris,et al. Distributional Structure , 1954 .
[4] Antonio Criminisi,et al. TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context , 2007, International Journal of Computer Vision.
[5] Wei Liu,et al. ParseNet: Looking Wider to See Better , 2015, ArXiv.
[6] Ian D. Reid,et al. RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Bastian Leibe,et al. Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[9] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[10] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Subhransu Maji,et al. Semantic contours from inverse detectors , 2011, 2011 International Conference on Computer Vision.
[12] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[13] 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.
[14] Seunghoon Hong,et al. Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[16] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Philip H. S. Torr,et al. Higher Order Conditional Random Fields in Deep Neural Networks , 2015, ECCV.
[18] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Francesco Visin,et al. A guide to convolution arithmetic for deep learning , 2016, ArXiv.
[20] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Andrea Vedaldi,et al. Objects in Context , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[22] Yi Zhang,et al. PSANet: Point-wise Spatial Attention Network for Scene Parsing , 2018, ECCV.
[23] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[24] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[25] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[26] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[27] Stella X. Yu,et al. Adaptive Affinity Fields for Semantic Segmentation , 2018, ECCV.
[28] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[29] Jitendra Malik,et al. Simultaneous Detection and Segmentation , 2014, ECCV.
[30] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Anton van den Hengel,et al. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition , 2016, Pattern Recognit..
[32] Rama Chellappa,et al. Gaussian Conditional Random Field Network for Semantic Segmentation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Xiaoxiao Li,et al. Semantic Image Segmentation via Deep Parsing Network , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[34] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Yuning Jiang,et al. Unified Perceptual Parsing for Scene Understanding , 2018, ECCV.
[36] Xiaogang Wang,et al. Context Encoding for Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Jianbo Shi,et al. Adversarial Structure Matching Loss for Image Segmentation , 2018, ArXiv.
[38] Ruslan Salakhutdinov,et al. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model , 2017, ICLR.
[39] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[40] Anton van den Hengel,et al. Bridging Category-level and Instance-level Semantic Image Segmentation , 2016, ArXiv.
[41] Antonio Torralba,et al. Contextual Priming for Object Detection , 2003, International Journal of Computer Vision.
[42] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Xiaogang Wang,et al. Learning Object Interactions and Descriptions for Semantic Image Segmentation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Sanja Fidler,et al. The Role of Context for Object Detection and Semantic Segmentation in the Wild , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[46] Sheng Tang,et al. Scale-Adaptive Convolutions for Scene Parsing , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[47] Dani Lischinski,et al. Multi-scale Context Intertwining for Semantic Segmentation , 2018, ECCV.
[48] Eric P. Xing,et al. Dynamic-Structured Semantic Propagation Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[49] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[50] Jean-Michel Morel,et al. A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[51] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[52] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[53] Guosheng Lin,et al. Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Afef Abdelkrim,et al. Convolutional neural networks for image classification , 2018, 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET).
[55] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[56] Jakob Uszkoreit,et al. A Decomposable Attention Model for Natural Language Inference , 2016, EMNLP.
[57] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .