Learning to Match Aerial Images with Deep Attentive Architectures
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Pascal Fua | Serge J. Belongie | Eduard Trulls | James Hays | Hani Altwaijry | James Hays | P. Fua | Eduard Trulls | Hani Altwaijry
[1] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[2] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[3] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[4] Yann LeCun,et al. Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..
[5] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[6] Stefan Carlsson,et al. Combining Appearance and Topology for Wide Baseline Matching , 2002, ECCV.
[7] Jiri Matas,et al. Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..
[8] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[9] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Florent Perronnin,et al. Fisher Kernels on Visual Vocabularies for Image Categorization , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Antonio Torralba,et al. SIFT Flow: Dense Correspondence across Different Scenes , 2008, ECCV.
[12] Tony X. Han,et al. Building recognition using sketch-based representations and spectral graph matching , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[13] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[14] Cordelia Schmid,et al. Aggregating local descriptors into a compact image representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[15] Vincent Lepetit,et al. DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[17] Jean-Michel Morel,et al. ASIFT: An Algorithm for Fully Affine Invariant Comparison , 2011, Image Process. Line.
[18] Clément Farabet,et al. Torch7: A Matlab-like Environment for Machine Learning , 2011, NIPS 2011.
[19] Gang Hua,et al. Discriminative Learning of Local Image Descriptors , 1990, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Mayank Bansal,et al. Ultra-wide Baseline Facade Matching for Geo-localization , 2012, ECCV Workshops.
[21] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[22] Vincent Lepetit,et al. BRIEF: Computing a Local Binary Descriptor Very Fast , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Serge J. Belongie,et al. Ultra-wide Baseline Aerial Imagery Matching in Urban Environments , 2013, BMVC.
[24] Changchang Wu,et al. Towards Linear-Time Incremental Structure from Motion , 2013, 2013 International Conference on 3D Vision.
[25] Cordelia Schmid,et al. DeepFlow: Large Displacement Optical Flow with Deep Matching , 2013, 2013 IEEE International Conference on Computer Vision.
[26] Iasonas Kokkinos,et al. Dense Segmentation-Aware Descriptors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Christian Szegedy,et al. DeepPose: Human Pose Estimation via Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[29] 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.
[30] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[31] Trevor Darrell,et al. Do Convnets Learn Correspondence? , 2014, NIPS.
[32] Alex Graves,et al. Recurrent Models of Visual Attention , 2014, NIPS.
[33] Bolei Zhou,et al. Learning Deep Features for Scene Recognition using Places Database , 2014, NIPS.
[34] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Andrew Zisserman,et al. Learning Local Feature Descriptors Using Convex Optimisation , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Iasonas Kokkinos,et al. Discriminative Learning of Deep Convolutional Feature Point Descriptors , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[37] Koray Kavukcuoglu,et al. Multiple Object Recognition with Visual Attention , 2014, ICLR.
[38] 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).
[39] Nikos Komodakis,et al. Learning to compare image patches via convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Serge J. Belongie,et al. Learning deep representations for ground-to-aerial geolocalization , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[43] Lilly Irani,et al. Amazon Mechanical Turk , 2018, Advances in Intelligent Systems and Computing.