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[1] S. Mallat. A wavelet tour of signal processing , 1998 .
[2] David A. Forsyth,et al. Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary , 2002, ECCV.
[3] Andrew Blake,et al. "GrabCut" , 2004, ACM Trans. Graph..
[4] Nando de Freitas,et al. Learning about Individuals from Group Statistics , 2005, UAI.
[5] Bill Triggs,et al. Region Classification with Markov Field Aspect Models , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[7] Toby Sharp,et al. Image segmentation with a bounding box prior , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[8] Anton Osokin,et al. Fast Approximate Energy Minimization with Label Costs , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Daphne Koller,et al. Learning specific-class segmentation from diverse data , 2011, 2011 International Conference on Computer Vision.
[10] Ben Taskar,et al. Learning from Partial Labels , 2011, J. Mach. Learn. Res..
[11] Subhransu Maji,et al. Semantic contours from inverse detectors , 2011, 2011 International Conference on Computer Vision.
[12] Vladlen Koltun,et al. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials , 2011, NIPS.
[13] Pushmeet Kohli,et al. Learning Low-order Models for Enforcing High-order Statistics , 2012, AISTATS.
[14] Brendan J. Frey,et al. Fast Exact Inference for Recursive Cardinality Models , 2012, UAI.
[15] Cristian Sminchisescu,et al. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Joachim M. Buhmann,et al. Weakly supervised structured output learning for semantic segmentation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Jian Dong,et al. Semantic Segmentation without Annotating Segments , 2013, 2013 IEEE International Conference on Computer Vision.
[18] Camille Couprie,et al. Learning Hierarchical Features for Scene Labeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] James J. Little,et al. Learning to Track and Identify Players from Broadcast Sports Videos , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Matthieu Guillaumin,et al. ImageNet Auto-Annotation with Segmentation Propagation , 2014, International Journal of Computer Vision.
[21] Jun Zhu,et al. Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm , 2014, NIPS.
[22] Trevor Darrell,et al. LSDA: Large Scale Detection through Adaptation , 2014, NIPS.
[23] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[24] Philip H. S. Torr,et al. BING: Binarized normed gradients for objectness estimation at 300fps , 2014, Computational Visual Media.
[25] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[26] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[27] Jonathan T. Barron,et al. Multiscale Combinatorial Grouping , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Jia Xu,et al. Tell Me What You See and I Will Show You Where It Is , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Ivan Laptev,et al. Weakly supervised object recognition with convolutional neural networks , 2014 .
[30] Iasonas Kokkinos,et al. Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection , 2014, ArXiv.
[31] Sanja Fidler,et al. Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Richard S. Zemel,et al. High Order Regularization for Semi-Supervised Learning of Structured Output Problems , 2014, ICML.
[33] 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).
[34] Gregory Shakhnarovich,et al. Feedforward semantic segmentation with zoom-out features , 2014, CVPR.
[35] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[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] Jitendra Malik,et al. Hypercolumns for object segmentation and fine-grained localization , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] 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).
[39] Alan L. Yuille,et al. Learning Deep Structured Models , 2014, ICML.
[40] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[41] Ronan Collobert,et al. From image-level to pixel-level labeling with Convolutional Networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[43] Jian Sun,et al. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[44] Jia Xu,et al. Learning to segment under various forms of weak supervision , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Trevor Darrell,et al. Fully Convolutional Multi-Class Multiple Instance Learning , 2014, ICLR.
[46] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.