Efficient descriptor learning for large scale localization
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Roland Siegwart | Igor Gilitschenski | Simon Lynen | Antonio Loquercio | Bernhard Zeisl | Marcin Dymczyk
[1] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[2] Vincent Lepetit,et al. Thick boundaries in binary space and their influence on nearest-neighbor search , 2012, Pattern Recognit. Lett..
[3] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[4] Torsten Sattler,et al. Camera Pose Voting for Large-Scale Image-Based Localization , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[6] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[7] Rahul Sukthankar,et al. MatchNet: Unifying feature and metric learning for patch-based matching , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Paul Newman,et al. FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance , 2008, Int. J. Robotics Res..
[9] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[10] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[11] Jon Louis Bentley,et al. Multidimensional binary search trees used for associative searching , 1975, CACM.
[12] Thorsten Joachims,et al. Learning a Distance Metric from Relative Comparisons , 2003, NIPS.
[13] Michael Bosse,et al. Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization , 2015, Robotics: Science and Systems.
[14] Torsten Sattler,et al. Scalable 6-DOF Localization on Mobile Devices , 2014, ECCV.
[15] Victor S. Lempitsky,et al. Aggregating Local Deep Features for Image Retrieval , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] Michael Isard,et al. Object retrieval with large vocabularies and fast spatial matching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Takeo Kanade,et al. Robust L/sub 1/ norm factorization in the presence of outliers and missing data by alternative convex programming , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[18] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[19] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[20] Pierre Vandergheynst,et al. FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Rocco A. Servedio,et al. Random classification noise defeats all convex potential boosters , 2008, ICML.
[22] Sebastian Thrun,et al. Unsupervised learning of invariant features using video , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[23] Iasonas Kokkinos,et al. Discriminative Learning of Deep Convolutional Feature Point Descriptors , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[24] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[25] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[26] Cordelia Schmid,et al. Aggregating Local Image Descriptors into Compact Codes , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Vincent Lepetit,et al. LIFT: Learned Invariant Feature Transform , 2016, ECCV.
[28] Tao Li,et al. Using discriminant analysis for multi-class classification: an experimental investigation , 2006, Knowledge and Information Systems.
[29] Torsten Sattler,et al. Fast image-based localization using direct 2D-to-3D matching , 2011, 2011 International Conference on Computer Vision.
[30] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Andrew Zisserman,et al. Learning Local Feature Descriptors Using Convex Optimisation , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Krystian Mikolajczyk,et al. PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors , 2016, ArXiv.
[33] Michael Bosse,et al. Placeless Place-Recognition , 2014, 2014 2nd International Conference on 3D Vision.
[34] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[35] Jan-Michael Frahm,et al. Building Rome on a Cloudless Day , 2010, ECCV.
[36] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Daniel P. Huttenlocher,et al. Location Recognition Using Prioritized Feature Matching , 2010, ECCV.
[38] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[39] Michael Isard,et al. Descriptor Learning for Efficient Retrieval , 2010, ECCV.
[40] Rocco A. Servedio,et al. Random classification noise defeats all convex potential boosters , 2008, ICML '08.