暂无分享,去创建一个
[1] 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.
[2] Lawrence D. Jackel,et al. Handwritten Digit Recognition with a Back-Propagation Network , 1989, NIPS.
[3] Clément Farabet,et al. Torch7: A Matlab-like Environment for Machine Learning , 2011, NIPS 2011.
[4] G. Lewicki,et al. Approximation by Superpositions of a Sigmoidal Function , 2003 .
[5] 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.
[6] Camille Couprie,et al. Learning Hierarchical Features for Scene Labeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Vladlen Koltun,et al. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials , 2011, NIPS.
[8] Jitendra Malik,et al. Hypercolumns for object segmentation and fine-grained localization , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Bingyuan Liu,et al. Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition , 2014, ACCV.
[10] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Srinivas S. Kruthiventi,et al. CrowdNet: A Deep Convolutional Network for Dense Crowd Counting , 2016, ACM Multimedia.
[12] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.
[13] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[14] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Colin Raffel,et al. Lasagne: First release. , 2015 .
[16] Bhiksha Raj,et al. On the Origin of Deep Learning , 2017, ArXiv.
[17] Shiliang Pu,et al. Mixed context networks for semantic segmentation , 2016, ArXiv.
[18] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Subhransu Maji,et al. Semantic contours from inverse detectors , 2011, 2011 International Conference on Computer Vision.
[20] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[21] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[22] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[23] Tsuhan Chen,et al. Deep Neural Network for Real-Time Autonomous Indoor Navigation , 2015, ArXiv.
[24] 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).
[25] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[26] Bolei Zhou,et al. Semantic Understanding of Scenes Through the ADE20K Dataset , 2016, International Journal of Computer Vision.
[27] Kurt Hornik,et al. Approximation capabilities of multilayer feedforward networks , 1991, Neural Networks.
[28] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[29] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[30] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[31] Xin Zhang,et al. End to End Learning for Self-Driving Cars , 2016, ArXiv.
[32] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[33] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[34] Antonio Torralba,et al. Nonparametric scene parsing: Label transfer via dense scene alignment , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[36] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[37] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[38] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[39] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[40] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[42] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[43] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[44] John J. Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities , 1999 .
[45] Svetlana Lazebnik,et al. Superparsing - Scalable Nonparametric Image Parsing with Superpixels , 2010, International Journal of Computer Vision.
[46] Ashutosh Saxena,et al. Cascaded Classification Models: Combining Models for Holistic Scene Understanding , 2008, NIPS.