RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
暂无分享,去创建一个
Ian D. Reid | Guosheng Lin | Chunhua Shen | Anton Milan | I. Reid | Chunhua Shen | Guosheng Lin | Anton Milan
[1] Dieter Fox,et al. RGB-(D) scene labeling: Features and algorithms , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Andrea Vedaldi,et al. MatConvNet: Convolutional Neural Networks for MATLAB , 2014, ACM Multimedia.
[3] 한보형,et al. Learning Deconvolution Network for Semantic Segmentation , 2015 .
[4] Jitendra Malik,et al. Simultaneous Detection and Segmentation , 2014, ECCV.
[5] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Ian D. Reid,et al. Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[8] Rob Fergus,et al. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network , 2014, NIPS.
[9] Cristian Sminchisescu,et al. Semantic Segmentation with Second-Order Pooling , 2012, ECCV.
[10] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[11] Antonio Torralba,et al. SIFT Flow: Dense Correspondence across Scenes and Its Applications , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[13] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Jitendra Malik,et al. Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Yi Yang,et al. Attention to Scale: Scale-Aware Semantic Image Segmentation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Jitendra Malik,et al. Hypercolumns for object segmentation and fine-grained localization , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[19] Shuicheng Yan,et al. Semantic Object Parsing with Local-Global Long Short-Term Memory , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[21] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Vladlen Koltun,et al. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials , 2011, NIPS.
[23] Subhransu Maji,et al. Semantic contours from inverse detectors , 2011, 2011 International Conference on Computer Vision.
[24] 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.
[25] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[26] Rob Fergus,et al. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[27] Rob Fergus,et al. Restoring an Image Taken through a Window Covered with Dirt or Rain , 2013, 2013 IEEE International Conference on Computer Vision.
[28] 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.
[29] Philip H. S. Torr,et al. Higher Order Conditional Random Fields in Deep Neural Networks , 2015, ECCV.
[30] Roberto Cipolla,et al. Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding , 2015, BMVC.
[31] Xiaoxiao Li,et al. Semantic Image Segmentation via Deep Parsing Network , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[32] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Jian Sun,et al. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[34] Sanja Fidler,et al. Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Jianxiong Xiao,et al. SUN RGB-D: A RGB-D scene understanding benchmark suite , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Jian Sun,et al. Convolutional feature masking for joint object and stuff segmentation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Bolei Zhou,et al. Semantic Understanding of Scenes Through the ADE20K Dataset , 2016, International Journal of Computer Vision.
[38] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[39] Jitendra Malik,et al. Learning Rich Features from RGB-D Images for Object Detection and Segmentation , 2014, ECCV.
[40] 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).
[41] Iasonas Kokkinos,et al. Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs , 2016, ECCV.
[42] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[43] Charless C. Fowlkes,et al. Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation , 2016, ECCV.
[44] Guosheng Lin,et al. Deep convolutional neural fields for depth estimation from a single image , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Shuicheng Yan,et al. Semantic Object Parsing with Graph LSTM , 2016, ECCV.
[46] Alan L. Yuille,et al. Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net , 2015, ECCV.
[47] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.