-
2
-
-
84937638481
-
-
arXiv: 1409.5403 [cs.CV]
-
Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, and Jitendra Malik, "De-formable part models are convolutional neural networks, " arXiv:1409.5403 [cs.CV], 2014.
-
(2014)
De-formable Part Models Are Convolutional Neural Networks
-
-
Girshick, R.B.1
Iandola, F.N.2
Darrell, T.3
Malik, J.4
-
3
-
-
85072028231
-
-
arXiv: 1405.3531 [cs.CV]
-
Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman, "Return of the devil in the details: Delving deep into convolutional nets, " arXiv:1405.3531 [cs.CV], 2014.
-
(2014)
Return of the Devil in the Details: Delving Deep into Convolutional Nets
-
-
Chatfield, K.1
Simonyan, K.2
Vedaldi, A.3
Zisserman, A.4
-
4
-
-
84906489074
-
Visualizing and understanding convolu-tional networks
-
Matthew D. Zeiler and Rob Fergus, "Visualizing and understanding convolu-tional networks, " in ECCV, 2014, pp. 818-833.
-
(2014)
ECCV
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
5
-
-
84981266620
-
Factors of transferability for a generic convnet representation
-
Hossein Azizpour, Ali S. Razavian, Josephine Sullivan, Atsuto Maki, and Stefan Carlsson, "Factors of transferability for a generic ConvNet representation, " IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.
-
(2016)
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
-
Azizpour, H.1
Razavian, A.S.2
Sullivan, J.3
Maki, A.4
Carlsson, S.5
-
6
-
-
84947281533
-
-
arxiv: 1412.6574 [cs.CV]
-
Ali S. Razavian, Josephine Sullivan, Atsuto Maki, and Stefan Carlsson, "Visual instance retrieval with deep convolutional networks, " arxiv:1412.6574 [cs.CV], 2014.
-
(2014)
Visual Instance Retrieval with Deep Convolutional Networks
-
-
Razavian, A.S.1
Sullivan, J.2
Maki, A.3
Carlsson, S.4
-
7
-
-
84911449395
-
Learning and transferring mid-level image representations using convolutional neural networks
-
Maxime Oquab, Léon Bottou, Ivan Laptev, and Josef Sivic, "Learning and transferring mid-level image representations using convolutional neural networks, " in CVPR, 2014.
-
(2014)
CVPR
-
-
Oquab, M.1
Bottou, L.2
Laptev, I.3
Sivic, J.4
-
8
-
-
84919881041
-
Decaf: A deep convolutional activation feature for generic visual recognition
-
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell, "Decaf: A deep convolutional activation feature for generic visual recognition, " in ICML, 2014.
-
(2014)
ICML
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
11
-
-
84908537903
-
CNN features off-the-shelf: An astounding baseline for recognition
-
Ali S. Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson, "CNN features off-the-shelf: an astounding baseline for recognition, " CVPRW, 2014.
-
(2014)
CVPRW
-
-
Razavian, A.S.1
Azizpour, H.2
Sullivan, J.3
Carlsson, S.4
-
12
-
-
84978653177
-
-
arxiv: 1511.07247 [cs.CV]
-
Relja Arandjelovic, Petr Gronat, Akihiko Torii, Tomas Pajdla, and Josef Sivic, "NetVLAD: CNN architecture for weakly supervised place recognition, " arxiv:1511.07247 [cs.CV], 2015.
-
(2015)
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
-
-
Arandjelovic, R.1
Gronat, P.2
Torii, A.3
Pajdla, T.4
Sivic, J.5
-
13
-
-
84906490449
-
Neural codes for image retrieval
-
Artem Babenko, Anton Slesarev, Alexander Chigorin, and Victor S. Lempitsky, "Neural codes for image retrieval, " in ECCV, 2014.
-
(2014)
ECCV
-
-
Babenko, A.1
Slesarev, A.2
Chigorin, A.3
Lempitsky, V.S.4
-
14
-
-
84913590208
-
Deep learning for content-based image retrieval: A comprehensive study
-
Ji Wan, Dayong Wang, Steven Chu Hong Hoi, Pengcheng Wu, Jianke Zhu, Yong-dong Zhang, and Jintao Li, "Deep learning for content-based image retrieval: A comprehensive study, " in ACM Multimedia, 2014, pp. 157-166.
-
(2014)
ACM Multimedia
, pp. 157-166
-
-
Wan, J.1
Wang, D.2
Chu Hong Hoi Pengcheng Wu, S.3
Zhu, J.4
Zhang, Y.5
Li, J.6
-
15
-
-
84907438731
-
A comprehensive study over vlad and product quantization in large-scale image retrieval
-
Eleftherios Spyromitros-Xioufis, Symeon Papadopoulos, Ioannis (Yiannis) Kom-patsiaris, Grigorios Tsoumakas, and Ioannis Vlahavas, "A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval, " in IEEE Transactions on Multimedia, 2014, pp. 1713-1728.
-
(2014)
IEEE Transactions on Multimedia
, pp. 1713-1728
-
-
Spyromitros-Xioufis, E.1
Papadopoulos Ioannis, S.2
Grigorios, T.3
Vlahavas, I.4
-
16
-
-
84906352772
-
Multi-scale orderless pooling of deep convolutional activation features
-
Yunchao Gong, Liwei Wang, Ruiqi Guo, and Svetlana Lazebnik, "Multi-scale orderless pooling of deep convolutional activation features, " in ECCV, 2014, pp. 392-407.
-
(2014)
ECCV
, pp. 392-407
-
-
Gong, Y.1
Wang, L.2
Guo, R.3
Lazebnik, S.4
-
17
-
-
50649105215
-
Total recall: Automatic query expansion with a generative feature model for object retrieval
-
Ondrej Chum, James Philbin, Josef Sivic, Micheal Isard, and Andrew Zisserman, "Total recall: Automatic query expansion with a generative feature model for object retrieval, " in ICCV, 2007.
-
(2007)
ICCV
-
-
Chum, O.1
Philbin, J.2
Sivic, J.3
Isard, M.4
Zisserman, A.5
-
18
-
-
34948903793
-
Object retrieval with large vocabularies and fast spatial matching
-
James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, and Andrew Zisserman, "Object retrieval with large vocabularies and fast spatial matching, " in CVPR, 2007.
-
(2007)
CVPR
-
-
Philbin, J.1
Chum, O.2
Isard, M.3
Sivic, J.4
Zisserman, A.5
-
19
-
-
70450179951
-
Efficient representation of local geometry for large scale object retrieval
-
Michal Perdoch, Ondrej Chum, and Jiri Matas, "Efficient representation of local geometry for large scale object retrieval, " in CVPR, 2009.
-
(2009)
CVPR
-
-
Perdoch, M.1
Chum, O.2
Matas, J.3
-
21
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, "ImageNet classification with deep convolutional neural networks, " in NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
22
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, "ImageNet: A Large-Scale Hierarchical Image Database, " in CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
23
-
-
84952059228
-
Exploiting local features from deep networks for image retrieval
-
Joe Yue-Hei Ng, Fan Yang, and Larry S. Davis, "Exploiting local features from deep networks for image retrieval, " CVPRW, 2015.
-
(2015)
CVPRW
-
-
Yue-Hei Ng, J.1
Yang, F.2
Davis, L.S.3
-
24
-
-
0345414182
-
Video google: A text retrieval approach to object matching in videos
-
Josef Sivic and Andrew Zisserman, "Video google: A text retrieval approach to object matching in videos, " in ICCV, 2003.
-
(2003)
ICCV
-
-
Sivic, J.1
Zisserman, A.2
-
25
-
-
34948815101
-
Fisher kernels on visual vocabularies for image categorization
-
Florent Perronnin and Christopher R. Dance, "Fisher kernels on visual vocabularies for image categorization, " in CVPR, 2007.
-
(2007)
CVPR
-
-
Perronnin, F.1
Dance, C.R.2
-
26
-
-
84865584175
-
Aggregating local image descriptors into compact codes
-
Hervé Jégou, Florent Perronnin, Matthijs Douze, Jorge Sánchez, Patrick Pérez, and Cordelia Schmid, "Aggregating local image descriptors into compact codes, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 9, pp. 1704-1716, 2012.
-
(2012)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.34
, Issue.9
, pp. 1704-1716
-
-
Jégou, H.1
Perronnin, F.2
Douze, M.3
Sánchez, J.4
Pérez, P.5
Schmid, C.6
-
27
-
-
84904175757
-
Learning local feature descriptors using convex optimisation
-
Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman, "Learning local feature descriptors using convex optimisation, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 8, pp. 1573-1585, 2014.
-
(2014)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.36
, Issue.8
, pp. 1573-1585
-
-
Simonyan, K.1
Vedaldi, A.2
Zisserman, A.3
-
28
-
-
84898829999
-
To aggregate or not to aggregate: Selective match kernels for image search
-
Giorgos Tolias, Yannis S. Avrithis, and Hervé Jégou, "To aggregate or not to aggregate: Selective match kernels for image search, " in ICCV, 2013.
-
(2013)
ICCV
-
-
Tolias, G.1
Avrithis, Y.S.2
Jégou, H.3
-
29
-
-
84973908877
-
Aggregating local deep features for image retrieval
-
Artem Babenko, and Victor Lempitsky, "Aggregating Local Deep Features for Image Retrieval" in ICCV, 2015.
-
(2015)
ICCV
-
-
Babenko, A.1
Lempitsky, V.2
-
30
-
-
84911439181
-
Triangulation embedding and democratic aggregation for image search
-
Hervé Jégou and Andrew Zisserman, "Triangulation embedding and democratic aggregation for image search, " in CVPR, 2014.
-
(2014)
CVPR
-
-
Jégou, H.1
Zisserman, A.2
-
31
-
-
85083952996
-
Object detectors emerge in deep scene cnns
-
Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, and Antonio Torralba, "Object detectors emerge in deep scene cnns, " in ICLR, 2015.
-
(2015)
ICLR
-
-
Zhou, B.1
Khosla Àgata Lapedriza, A.2
Oliva, A.3
Torralba, A.4
-
32
-
-
51949119257
-
Small codes and large image databases for recognition
-
Antonio Torralba, Rob Fergus, and Yair Weiss, "Small codes and large image databases for recognition" in CVPR, 2008.
-
(2008)
CVPR
-
-
Torralba, A.1
Fergus, R.2
Weiss, Y.3
-
33
-
-
84911404141
-
Locality in generic instance search from one example
-
Ran Tao, Efstratios Gavves, Cees G. M. Snoek, and Arnold W. M. Smeulders, "Locality in generic instance search from one example, " in CVPR, 2014, pp. 2099-2106.
-
(2014)
CVPR
, pp. 2099-2106
-
-
Tao, R.1
Gavves, E.2
Snoek, C.G.M.3
Smeulders, A.W.M.4
-
34
-
-
51949105132
-
Lost in quantization: Improving particular object retrieval in large scale image databases
-
James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, and Andrew Zisserman, "Lost in quantization: Improving particular object retrieval in large scale image databases, " in CVPR, 2008.
-
(2008)
CVPR
-
-
Philbin, J.1
Chum, O.2
Isard, M.3
Sivic, J.4
Zisserman, A.5
-
35
-
-
84856650008
-
Smooth object retrieval using a bag of boundaries
-
Relja Arandjelović and Andrew Zisserman, "Smooth object retrieval using a bag of boundaries, " in ICCV, 2011.
-
(2011)
ICCV
-
-
Arandjelović, R.1
Zisserman, A.2
-
36
-
-
70449560133
-
Hamming embedding and weak geometric consistency for large scale image search
-
Hervé Jégou, Matthijs Douze, and Cordelia Schmid, "Hamming embedding and weak geometric consistency for large scale image search, " in ECCV, 2008.
-
(2008)
ECCV
-
-
Jégou, H.1
Douze, M.2
Schmid, C.3
-
37
-
-
33845592987
-
Scalable recognition with a vocabulary tree
-
David Nistér and Henrik Stewénius, "Scalable recognition with a vocabulary tree, " in CVPR, 2006.
-
(2006)
CVPR
-
-
Nistér, D.1
Stewénius, H.2
-
38
-
-
84906354023
-
Oriented pooling for dense and non-dense rotation-invariant features
-
Wan-Lei Zhao, Hervé Jégou, Guillaume Gravier, et al., "Oriented pooling for dense and non-dense rotation-invariant features, " in BMVC, 2013.
-
(2013)
BMVC
-
-
Zhao, W.1
Jégou, H.2
Gravier, G.3
-
39
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
Karen Simonyan and Andrew Zisserman, "Very deep convolutional networks for large-scale image recognition, " in ICLR, 2015.
-
(2015)
ICLR
-
-
Simonyan, K.1
Zisserman, A.2
|