Tree-Structured Reinforcement Learning for Sequential Object Localization
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Shuicheng Yan | Jiashi Feng | Wen Feng Lu | Xiaodan Liang | Xiaojie Jin | Zequn Jie | Shuicheng Yan | Xiaodan Liang | Xiaojie Jin | Jiashi Feng | Zequn Jie | W. Lu
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Cristian Sminchisescu,et al. Reinforcement Learning for Visual Object Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] 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.
[4] Vladlen Koltun,et al. Geodesic Object Proposals , 2014, ECCV.
[5] Yee Whye Teh,et al. Searching for objects driven by context , 2012, NIPS.
[6] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[7] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[8] 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).
[9] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] W. Geisler,et al. Optimal Eye Movement Strategies in Visual Search ( Supplement ) , 2005 .
[11] Thomas Deselaers,et al. What is an object? , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] Bernt Schiele,et al. What Makes for Effective Detection Proposals? , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Tara Javidi,et al. Adaptive Object Detection Using Adjacency and Zoom Prediction , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[15] C. Lawrence Zitnick,et al. Edge Boxes: Locating Object Proposals from Edges , 2014, ECCV.
[16] Koray Kavukcuoglu,et al. Multiple Object Recognition with Visual Attention , 2014, ICLR.
[17] Svetlana Lazebnik,et al. Active Object Localization with Deep Reinforcement Learning , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[18] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[19] Clément Farabet,et al. Torch7: A Matlab-like Environment for Machine Learning , 2011, NIPS 2011.
[20] Philip H. S. Torr,et al. BING: Binarized normed gradients for objectness estimation at 300fps , 2014, Computational Visual Media.
[21] Alex Graves,et al. Playing Atari with Deep Reinforcement Learning , 2013, ArXiv.
[22] Wilson S. Geisler,et al. Optimal eye movement strategies in visual search , 2005, Nature.
[23] Christoph H. Lampert,et al. Efficient Subwindow Search: A Branch and Bound Framework for Object Localization , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Alex Graves,et al. Recurrent Models of Visual Attention , 2014, NIPS.
[25] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[26] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[27] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[28] Cristian Sminchisescu,et al. Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images , 2014, ArXiv.