Multi-hypothesis contextual modeling for semantic segmentation
暂无分享,去创建一个
[1] Vladimir Kolmogorov,et al. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Qianni Zhang,et al. LSI: Latent semantic inference for natural image segmentation , 2016, Pattern Recognit..
[3] Antonio Torralba,et al. SIFT Flow: Dense Correspondence across Scenes and Its Applications , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Pushmeet Kohli,et al. Associative Hierarchical Random Fields , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Larry S. Davis,et al. Learning What and How of Contextual Models for Scene Labeling , 2010, ECCV.
[6] Shuicheng Yan,et al. Adaptive Nonparametric Image Parsing , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[7] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[8] Xuming He,et al. Stacked Learning to Search for Scene Labeling , 2017, IEEE Transactions on Image Processing.
[9] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Cor J. Veenman,et al. Kernel Codebooks for Scene Categorization , 2008, ECCV.
[11] Sanja Fidler,et al. Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[13] Marian George,et al. Image parsing with a wide range of classes and scene-level context , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[15] Jenny Benois-Pineau,et al. Segmentation-based multi-class semantic object detection , 2012, Multimedia Tools and Applications.
[16] Andrew Zisserman,et al. Return of the Devil in the Details: Delving Deep into Convolutional Nets , 2014, BMVC.
[17] Tam V. Nguyen,et al. Exploiting generic multi-level convolutional neural networks for scene understanding , 2016, 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV).
[18] Hasan F. Ates,et al. Improving Semantic Segmentation with Generalized Models of Local Context , 2017, CAIP.
[19] Wei Liu,et al. ParseNet: Looking Wider to See Better , 2015, ArXiv.
[20] Daniel P. Huttenlocher,et al. Efficient Graph-Based Image Segmentation , 2004, International Journal of Computer Vision.
[21] Gang Wang,et al. DAG-Recurrent Neural Networks for Scene Labeling , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Camille Couprie,et al. Learning Hierarchical Features for Scene Labeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Svetlana Lazebnik,et al. Superparsing - Scalable Nonparametric Image Parsing with Superpixels , 2010, International Journal of Computer Vision.
[25] 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).
[26] Zhen Li,et al. LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling , 2016, ECCV.
[27] Heesoo Myeong,et al. Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Ming-Hsuan Yang,et al. Context Driven Scene Parsing with Attention to Rare Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Noah Snavely,et al. Material recognition in the wild with the Materials in Context Database , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Marcus Liwicki,et al. Scene labeling with LSTM recurrent neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Xiaolin Hu,et al. Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling , 2015, NIPS.
[32] 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.
[33] Svetlana Lazebnik,et al. Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors , 2015, International Journal of Computer Vision.
[34] Kenan E. Ak,et al. Scene segmentation and labeling using multi-hypothesis superpixels , 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).
[35] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[36] Luis Enrique Sucar,et al. Image Annotation by a Hierarchical and Iterative Combination of Recognition and Segmentation , 2018, Int. J. Pattern Recognit. Artif. Intell..
[37] Cordelia Schmid,et al. Object Recognition by Integrating Multiple Image Segmentations , 2008, ECCV.