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We tackle the problem of large scale visual place recognition, where the task is to quickly and accurately recognize the location of a given query photograph.
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K. Q. Weinberger, J. Blitzer, and L. Saul · 2006
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Total recall: Automatic query expansion with a generative feature model for object retrieval
O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman · 2007
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A contextual dissimilarity measure for accurate and efficient image search
H. Jégou, H. Harzallah, and C. Schmid · 2007
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Fisher kernels on visual vocabularies for image categorization
F. Perronnin and D. Dance · 2007
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Object retrieval with large vocabularies and fast spatial matching
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman · 2007
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City-scale location recognition
G. Schindler, M. Brown, and R. Szeliski · 2007
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FAB-MAP: Probabilistic localization and mapping in the space of appearance
M. Cummins and P. Newman · 2008
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Hamming embedding and weak geometric consistency for large scale image search
H. Jégou, M. Douze, and C. Schmid · 2008
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Lost in quantization: Improving particular object retrieval in large scale image databases
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman · 2008
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Local invariant feature detectors: A survey
T. Tuytelaars and K. Mikolajczyk · 2008
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Highly scalable appearance-only SLAM - FAB-MAP 2.0
M. Cummins and P. Newman · 2009
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ImageNet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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On the burstiness of visual elements
H. Jégou, M. Douze, and C. Schmid · 2009
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Better matching with fewer features: The selection of useful features in large database recognition problems
T. Turcot and D. G. Lowe · 2009
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Picking the best DAISY
S. Winder, G. Hua, and M. Brown · 2009
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A review of multi-instance learning assumptions
J. Foulds and E. Frank · 2010
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Aggregating local descriptors into a compact image representation
H. Jégou, M. Douze, C. Schmid, and P. Pérez · 2010
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Avoiding confusing features in place recognition
J. Knopp, J. Sivic, and T. Pajdla · 2010
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Feature tracking for wide-baseline image retrieval
A. Makadia · 2010
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Learning a fine vocabulary
A. Mikulik, M. Perďoch, O. Chum, and J. Matas · 2010
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Large-scale image retrieval with compressed fisher vectors
F. Perronnin, Y. Liu, J. Sánchez, and H. Poirier · 2010
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Descriptor learning for efficient retrieval
J. Philbin, M. Isard, J. Sivic, and A. Zisserman · 2010
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City-scale landmark identification on mobile devices
D. M. Chen, G. Baatz, K. Koeser, S. S. Tsai, R. Vedantham, T. Pylvanainen, K. Roimela, X. Chen, J. Bach, M. Pollefeys, B. Girod, and R. Grzeszczuk · 2011
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Total recall II: Query expansion revisited
O. Chum, A. Mikulik, M. Perďoch, and J. Matas · 2011
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Product quantization for nearest neighbor search
H. Jégou, M. Douze, and C. Schmid · 2011
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Hello neighbor: accurate object retrieval with k-reciprocal nearest neighbors
D. Qin, S. Gammeter, L. Bossard, T. Quack, and L. Van Gool · 2011
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Fast image-based localization using direct 2D–to–3D matching
T. Sattler, B. Leibe, and L. Kobbelt · 2011
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Three things everyone should know to improve object retrieval
R. Arandjelović and A. Zisserman · 2012
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Leveraging category-level labels for instance-level image retrieval
A. Gordo, J. A. Rodríguez-Serrano, F. Perronnin, and E. Valveny · 2012
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Towards robust night and day place recognition using visible and thermal imaging
W. Maddern and S. Vidas · 2014
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Shady dealings: Robust, long-term visual localisation using illumination invariance
C. McManus, W. Churchill, W. Maddern, A. Stewart, and P. Newman · 2014
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Scalable 6-DOF localization on mobile devices
S. Middelberg, T. Sattler, O. Untzelmann, and L. Kobbelt · 2014
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Learning and transferring mid-level image representations using convolutional neural networks
M. Oquab, L. Bottou, I. Laptev, and J. Sivic · 2014
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Quantized kernel learning for feature matching
D. Qin, X. Chen, M. Guillaumin, and L. V. Gool · 2014
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Learning to rank bag-of-word histograms for large-scale object retrieval
D. Qin, Y. Chen, M. Guillaumin, and L. V. Gool · 2014
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Negative evidences and co-occurrences in image retrieval: the benefit of PCA and whitening
H. Jégou and O. Chum · 2012
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Aggregating local images descriptors into compact codes
H. Jégou, F. Perronnin, M. Douze, J. Sánchez, P. Pérez, and C. Schmid · 2012
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ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Worldwide pose estimation using 3D point clouds
Y. Li, N. Snavely, D. Huttenlocher, and P. Fua · 2012
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Image retrieval for image-based localization revisited
T. Sattler, T. Weyand, B. Leibe, and L. Kobbelt · 2012
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Descriptor learning using convex optimisation
K. Simonyan, A. Vedaldi, and A. Zisserman · 2012
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CNN features off-the-shelf: An astounding baseline for recognition
A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson · 2014
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A baseline for visual instance retrieval with deep convolutional networks
A. S. Razavian, J. Sullivan, A. Maki, and S. Carlsson · 2014
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Fracking deep convolutional image descriptors
E. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos, and F. Moreno-Noguer · 2014
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Deep fisher kernels – end to end learning of the fisher kernel GMM parameters
V. Sydorov, M. Sakurada, and C. Lampert · 2014
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2014
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Visual query expansion with or without geometry: refining local descriptors by feature aggregation
G. Tolias and H. Jégou · 2014
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Learning fine-grained image similarity with deep ranking
J. Wang, Y. Song, T. Leung, C. Rosenberg, J. Wang, J. Philbin, B. Chen, and Y. Wu · 2014
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
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Learning deep features for scene recognition using places database
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
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Aggregating local deep features for image retrieval
A. Babenko and V. Lempitsky · 2015
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Deep filter banks for texture recognition and segmentation
M. Cimpoi, S. Maji, and A. Vedaldi · 2015
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Deep visual-semantic alignments for generating image descriptions
A. Karpathy and L. Fei-Fei · 2015
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PoseNet: A convolutional network for real-time 6-DOF camera relocalization
A. Kendall, M. Grimes, and R. Cipolla · 2015
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Learning deep representations for ground-to-aerial geolocalization
T.-Y. Lin, Y. Cui, S. Belongie, and J. Hays · 2015
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Bilinear CNN models for fine-grained visual recognition
T.-Y. Lin, A. RoyChowdhury, and S. Maji · 2015
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Local convolutional features with unsupervised training for image retrieval
M. Paulin, M. Douze, Z. Harchaoui, J. Mairal, F. Perronnin, and C. Schmid · 2015
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A baseline for visual instance retrieval with deep convolutional networks
A. S. Razavian, J. Sullivan, A. Maki, and S. Carlsson · 2015
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Hyperpoints and fine vocabularies for large-scale location recognition
T. Sattler, M. Havlena, F. Radenović, K. Schindler, and M. Pollefeys · 2015
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FaceNet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Place recognition with ConvNet landmarks: Viewpoint-robust, condition-robust, training-free
N. Sunderhauf, S. Shirazi, A. Jacobson, E. Pepperell, F. Dayoub, B. Upcroft, and M. Milford · 2015
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24/7 place recognition by view synthesis
A. Torii, R. Arandjelović, J. Sivic, M. Okutomi, and T. Pajdla · 2015
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Matconvnet – convolutional neural networks for matlab
A. Vedaldi and K. Lenc · 2015
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Exemplar SVMs as visual feature encoders
J. Zepeda and P. Pérez · 2015
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