ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation
暂无分享,去创建一个
Yoshua Bengio | Matteo Matteucci | Aaron C. Courville | Kyunghyun Cho | Francesco Visin | Adriana Romero | Marco Ciccone | Kyle Kastner | Yoshua Bengio | Kyunghyun Cho | Adriana Romero | Francesco Visin | Kyle Kastner | M. Matteucci | Marco Ciccone
[1] Ying Zhang,et al. Batch normalized recurrent neural networks , 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[2] Philip H. S. Torr,et al. What, Where and How Many? Combining Object Detectors and CRFs , 2010, ECCV.
[3] Roberto Cipolla,et al. Semantic object classes in video: A high-definition ground truth database , 2009, Pattern Recognit. Lett..
[4] Jana Kosecka,et al. Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Jürgen Schmidhuber,et al. Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation , 2015, NIPS.
[6] Yizhou Yu,et al. Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation , 2016, ArXiv.
[7] Francesco Visin,et al. A guide to convolution arithmetic for deep learning , 2016, ArXiv.
[8] Dumitru Erhan,et al. Scalable Object Detection Using Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Shimon Ullman,et al. Combining Top-Down and Bottom-Up Segmentation , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[10] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[11] Camille Couprie,et al. Learning Hierarchical Features for Scene Labeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Yoshua Bengio,et al. ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks , 2015, ArXiv.
[13] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[14] Qiang Chen,et al. Network In Network , 2013, ICLR.
[15] Razvan Pascanu,et al. Theano: new features and speed improvements , 2012, ArXiv.
[16] Joost van de Weijer,et al. Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[17] Ming-Hsuan Yang,et al. PatchCut: Data-driven object segmentation via local shape transfer , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] 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).
[19] Guosheng Lin,et al. CRF Learning with CNN Features for Image Segmentation , 2015, Pattern Recognit..
[20] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[22] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[23] Andrew Blake,et al. "GrabCut": interactive foreground extraction using iterated graph cuts , 2004, ACM Trans. Graph..
[24] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[25] Ronan Collobert,et al. Recurrent Convolutional Neural Networks for Scene Labeling , 2014, ICML.
[26] Philip H. S. Torr,et al. Combining Appearance and Structure from Motion Features for Road Scene Understanding , 2009, BMVC.
[27] Andrew Zisserman,et al. A Visual Vocabulary for Flower Classification , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[28] Graham W. Taylor,et al. Adaptive deconvolutional networks for mid and high level feature learning , 2011, 2011 International Conference on Computer Vision.
[29] Kunio Kashino,et al. Tri-Map Self-Validation Based on Least Gibbs Energy for Foreground Segmentation , 2014, BMVC.
[30] Roberto Cipolla,et al. Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding , 2015, BMVC.
[31] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Jitendra Malik,et al. Hypercolumns for object segmentation and fine-grained localization , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] C. V. Jawahar,et al. Scene Text Recognition using Higher Order Language Priors , 2009, BMVC.
[34] Seunghoon Hong,et al. Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[35] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[37] Anders Krogh,et al. A Simple Weight Decay Can Improve Generalization , 1991, NIPS.
[38] Jonathan T. Barron,et al. Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Alistair A. Young,et al. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2017, MICCAI 2017.
[40] Hui Jiang,et al. Generating images with recurrent adversarial networks , 2016, ArXiv.
[41] Tianli Yu,et al. Kernelized structural SVM learning for supervised object segmentation , 2011, CVPR 2011.
[42] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[43] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[44] Svetlana Lazebnik,et al. Superparsing - Scalable Nonparametric Image Parsing with Superpixels , 2010, Int. J. Comput. Vis..
[45] Surya Ganguli,et al. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks , 2013, ICLR.
[46] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[47] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[48] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling , 2015, CVPR 2015.
[49] Colin Raffel,et al. Lasagne: First release. , 2015 .
[50] Marcus Liwicki,et al. Scene labeling with LSTM recurrent neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).