Reinforcement Learning for Visual Object Detection
暂无分享,去创建一个
Cristian Sminchisescu | Aleksis Pirinen | Stefan Mathe | C. Sminchisescu | Stefan Mathe | Aleksis Pirinen
[1] Dumitru Erhan,et al. Deep Neural Networks for Object Detection , 2013, NIPS.
[2] Christoph H. Lampert,et al. Beyond sliding windows: Object localization by efficient subwindow search , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Charless C. Fowlkes,et al. Discriminative Models for Multi-Class Object Layout , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[4] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[5] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[6] Dumitru Erhan,et al. Scalable Object Detection Using Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Peter Stone,et al. Reinforcement learning , 2019, Scholarpedia.
[8] Antonio Torralba,et al. Learning hierarchical models of scenes, objects, and parts , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[9] Alex Graves,et al. Recurrent Models of Visual Attention , 2014, NIPS.
[10] Matthieu Cord,et al. Sequentially Generated Instance-Dependent Image Representations for Classification , 2014, ICLR.
[11] Jordi Gonzàlez,et al. A coarse-to-fine approach for fast deformable object detection , 2011, CVPR 2011.
[12] Yichen Wei,et al. Efficient histogram-based sliding window , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[14] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Cristian Sminchisescu,et al. Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images , 2014, ArXiv.
[16] Trevor Darrell,et al. Anytime Recognition of Objects and Scenes , 2014, 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] John K. Tsotsos,et al. Neurobiology of Attention , 2005 .
[19] Nando de Freitas,et al. Learning attentional policies for tracking and recognition in video with deep networks , 2011, ICML.
[20] Daphne Koller,et al. Learning Spatial Context: Using Stuff to Find Things , 2008, ECCV.
[21] Abel Gonzalez-Garcia,et al. An active search strategy for efficient object class detection , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Andrew G. Barto,et al. Reinforcement learning , 1998 .
[23] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[24] Andrew Zisserman,et al. Multiple kernels for object detection , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[25] Cristian Sminchisescu,et al. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Javier R. Movellan,et al. Infomax Control of Eye Movements , 2010, IEEE Transactions on Autonomous Mental Development.
[27] Andrea Vedaldi,et al. Objects in Context , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[28] Iasonas Kokkinos,et al. Shufflets: Shared Mid-level Parts for Fast Object Detection , 2013, 2013 IEEE International Conference on Computer Vision.
[29] Cordelia Schmid,et al. Combining efficient object localization and image classification , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[30] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[31] David A. McAllester,et al. Cascade object detection with deformable part models , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[32] Trevor Darrell,et al. Timely Object Recognition , 2012, NIPS.
[33] Esa Rahtu,et al. Generating Object Segmentation Proposals Using Global and Local Search , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Cristian Sminchisescu,et al. Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths , 2013, NIPS.
[35] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[36] 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.
[37] Svetlana Lazebnik,et al. Active Object Localization with Deep Reinforcement Learning , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[38] Geoffrey E. Hinton,et al. Learning to combine foveal glimpses with a third-order Boltzmann machine , 2010, NIPS.
[39] Greg Mori,et al. Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization , 2013, NIPS.
[40] Lucas Paletta,et al. Q-learning of sequential attention for visual object recognition from informative local descriptors , 2005, ICML.
[41] Itamar Arel,et al. Reinforcement learning based visual attention with application to face detection , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[42] Vladlen Koltun,et al. Learning to propose objects , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Cristian Sminchisescu,et al. Second-order constrained parametric proposals and sequential search-based structured prediction for semantic segmentation in RGB-D images , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).