LF-Net: Learning Local Features from Images
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Pascal Fua | Yuki Ono | Eduard Trulls | Kwang Moo Yi | P. Fua | Eduard Trulls | K. M. Yi | Y. Ono
[1] Noah Snavely,et al. Unsupervised Learning of Depth and Ego-Motion from Video , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Mingrui Wu,et al. Gradient descent optimization of smoothed information retrieval metrics , 2010, Information Retrieval.
[3] Iasonas Kokkinos,et al. UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[5] David A. Shamma,et al. YFCC100M , 2015, Commun. ACM.
[6] Thomas Brox,et al. DeMoN: Depth and Motion Network for Learning Monocular Stereo , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Vincent Lepetit,et al. TILDE: A Temporally Invariant Learned DEtector , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Changchang Wu,et al. Towards Linear-Time Incremental Structure from Motion , 2013, 2013 International Conference on 3D Vision.
[9] 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).
[10] Jan-Michael Frahm,et al. Reconstructing the world* in six days , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Jan-Michael Frahm,et al. Structure-from-Motion Revisited , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Torsten Sattler,et al. Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Gang Hua,et al. Discriminative Learning of Local Image Descriptors , 1990, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Andrea Vedaldi,et al. Instance Normalization: The Missing Ingredient for Fast Stylization , 2016, ArXiv.
[15] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[16] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[17] Cordelia Schmid,et al. SfM-Net: Learning of Structure and Motion from Video , 2017, ArXiv.
[18] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[19] Vincent Lepetit,et al. Learning to Assign Orientations to Feature Points , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[21] Andrea Vedaldi,et al. HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Jitendra Malik,et al. Generic 3D Representation via Pose Estimation and Matching , 2016, ECCV.
[23] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[24] Krystian Mikolajczyk,et al. PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors , 2016, ArXiv.
[25] Jiri Matas,et al. Repeatability Is Not Enough: Learning Affine Regions via Discriminability , 2017, ECCV.
[26] Margarita Chli,et al. Learning Deep Descriptors with Scale-Aware Triplet Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[27] Daniel Cremers,et al. LSD-SLAM: Large-Scale Direct Monocular SLAM , 2014, ECCV.
[28] Matthias Nießner,et al. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Tom Drummond,et al. Machine Learning for High-Speed Corner Detection , 2006, ECCV.
[30] Tomasz Malisiewicz,et al. SuperPoint: Self-Supervised Interest Point Detection and Description , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[31] Iasonas Kokkinos,et al. Discriminative Learning of Deep Convolutional Feature Point Descriptors , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[32] Bin Fan,et al. L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] J. M. M. Montiel,et al. ORB-SLAM: A Versatile and Accurate Monocular SLAM System , 2015, IEEE Transactions on Robotics.
[34] Torsten Sattler,et al. Comparative Evaluation of Hand-Crafted and Learned Local Features , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Vincent Lepetit,et al. LIFT: Learned Invariant Feature Transform , 2016, ECCV.
[36] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[37] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[38] Nikos Komodakis,et al. Learning to compare image patches via convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Adrien Bartoli,et al. Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces , 2013, BMVC.
[40] Tom Drummond,et al. Faster and Better: A Machine Learning Approach to Corner Detection , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Andrea Vedaldi,et al. Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Vincent Lepetit,et al. DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Andrew Zisserman,et al. Learning Local Feature Descriptors Using Convex Optimisation , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Andrea Vedaldi,et al. Learning Covariant Feature Detectors , 2016, ECCV Workshops.
[46] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[47] Jiri Matas,et al. Working hard to know your neighbor's margins: Local descriptor learning loss , 2017, NIPS.
[48] Pascal Fua,et al. LDAHash: Improved Matching with Smaller Descriptors , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Adrien Bartoli,et al. KAZE Features , 2012, ECCV.
[50] Q. M. Jonathan Wu,et al. A comparative experimental study of image feature detectors and descriptors , 2015, Machine Vision and Applications.
[51] Vincent Lepetit,et al. Learning to Find Good Correspondences , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.