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Retrieving object instances among cluttered scenes efficiently requires compact yet comprehensive regional image representations.
Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography
M. Fischler and R. Bolles · 1981
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Video Google: A Text Retrieval Approach to Object Matching in Videos
J. Sivic and A. Zisserman · 2003
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Distinctive Image Features from Scale-Invariant Keypoints
D. Lowe · 2004
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Robust Wide-Baseline Stereo from Maximally Stable Extremal Regions
J. Matas, O. Chum, M. Urban, and T. Pajdla · 2004
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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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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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Speeded-Up Robust Features (SURF)
H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool · 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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Aggregating Local Descriptors into a Compact Image Representation
H. Jégou, M. Douze, C. Schmidt, and P. Perez · 2010
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Aggregating Local Image Descriptors into Compact Codes
H. Jégou, F. Perronnin, M. Douze, J. Sanchez, P. Perez, and C. Schmid · 2012
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Imagenet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
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All About VLAD
R. Arandjelovic and A. Zisserman · 2013
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Selective Search for Object Recognition
J. R. R. Uijlings, K. E. A. van de Sande, T. Gevers, and A. W. M. Smeulders · 2013
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Hough Pyramid Matching: Speeded-up Geometry Re-ranking for Large Scale Image Retrieval
Y. Avrithis and G. Tolias · 2014
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Neural Codes for Image Retrieval
A. Babenko, A. Slesarev, A. Chigorin, and V. Lempitsky · 2014
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Locality in Generic Instance Search from One Example
R. Tao, E. Gavves, C. G. M. Snoek, and A. W. M. Smeulders · 2014
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Visual Query Expansion with or without Geometry: Refining Local Descriptors by Feature Aggregation
G. Tolias and H. Jegou · 2014
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Aggregating Local Deep Features for Image Retrieval
A. Babenko and V. Lempitsky · 2015
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Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD
H. J. Kim, E. Dunn, and J.-M. Frahm · 2015
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CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
F. Radenović, G. Tolias, and O. Chum · 2016
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Visual Instance Retrieval with Deep Convolutional Networks
A. S. Razavian, J. Sullivan, S. Carlsson, and A. Maki · 2016
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Speed/Accuracy Trade-offs for Modern Convolutional Object Detectors
J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama, et al · 2017
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Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
A. Iscen, G. Tolias, Y. Avrithis, T. Furon, and O. Chum · 2017
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Working Hard to Know your Neighbor’s Margins: Local Descriptor Learning Loss
A. Mishchuk, D. Mishkin, F. Radenovic, and J. Matas · 2017
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan and A. Zisserman · 2015
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Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images
G. Tolias, Y. Avrithis, and H. Jegou · 2015
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Particular Object Retrieval with Integral Max-Pooling of CNN Activations
G. Tolias, R. Sicre, and H. Jégou · 2015
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NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
R. Arandjelović, P. Gronat, A. Torii, T. Pajdla, and J. Sivic · 2016
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Deep Image Retrieval: Learning Global Representations for Image Search
A. Gordo, J. Almazan, J. Revaud, and D. Larlus · 2016
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H. Noh, A. Araujo, J. Sim, T. Weyand, and B. Han · 2017
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Fast Spectral Ranking for Similarity Search
A. Iscen, Y. Avrithis, G. Tolias, T. Furon, and O. Chum · 2018
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A. Kuznetsova, H. Rom, N. Alldrin, J. Uijlings, I. Krasin, J. Pont-Tuset, S. Kamali, S. Popov, M. Malloci, T. Duerig, and V. Ferrari · 2018
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Repeatability Is Not Enough: Learning Affine Regions via Discriminability
D. Mishkin, F. Radenovic, and J. Matas · 2018
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Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
F. Radenović, A. Iscen, G. Tolias, Y. Avrithis, and O. Chum · 2018
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Fine-tuning CNN Image Retrieval with No Human Annotation
F. Radenović, G. Tolias, and O. Chum · 2018
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Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L.-C. Chen · 2018
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Local Features and Visual Words Emerge in Activations
O. Simeoni, Y. Avrithis, and O. Chum · 2019
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