暂无分享,去创建一个
[1] Thomas Hofmann,et al. Support vector machine learning for interdependent and structured output spaces , 2004, ICML.
[2] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[3] Antonio Torralba,et al. Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes , 2003, NIPS.
[4] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[5] 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.
[6] Alexei A. Efros,et al. An empirical study of context in object detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[7] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Jitendra Malik,et al. Cross Modal Distillation for Supervision Transfer , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Kavita Bala,et al. Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Antonio Torralba,et al. Exploiting hierarchical context on a large database of object categories , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[12] Xi Chen,et al. Object detection in 20 questions , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[13] Larry S. Davis,et al. Bilattice-based Logical Reasoning for Human Detection , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Antonio Criminisi,et al. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation , 2006, ECCV.
[15] Jonathan T. Barron,et al. A category-level 3-D object dataset: Putting the Kinect to work , 2011, ICCV Workshops.
[16] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Jian Dong,et al. Attentive Contexts for Object Detection , 2016, IEEE Transactions on Multimedia.
[19] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[20] Stephen Gould,et al. Decomposing a scene into geometric and semantically consistent regions , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[21] Serge J. Belongie,et al. Object categorization using co-occurrence, location and appearance , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Sanja Fidler,et al. Holistic Scene Understanding for 3D Object Detection with RGBD Cameras , 2013, 2013 IEEE International Conference on Computer Vision.
[23] 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).
[24] Deng Cai,et al. Deep feature based contextual model for object detection , 2016, Neurocomputing.
[25] Antonio Torralba,et al. Contextual Priming for Object Detection , 2003, International Journal of Computer Vision.
[26] Yinda Zhang,et al. DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[27] 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.
[28] Jitendra Malik,et al. Learning Rich Features from RGB-D Images for Object Detection and Segmentation , 2014, ECCV.
[29] Andrew Owens,et al. SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels , 2013, 2013 IEEE International Conference on Computer Vision.