-
3
-
-
84923215653
-
Datadriven approaches for social image and video tagging
-
4
-
L. Ballan, M. Bertini, T. Uricchio, and A. Del Bimbo. Datadriven approaches for social image and video tagging. Multimedia Tools and Applications, 74(4):1443-1468, 2014. 4
-
(2014)
Multimedia Tools and Applications
, vol.74
, Issue.4
, pp. 1443-1468
-
-
Ballan, L.1
Bertini, M.2
Uricchio, T.3
Del Bimbo, A.4
-
4
-
-
84899715386
-
A cross-media model for automatic image annotation
-
1, 2, 4
-
L. Ballan, T. Uricchio, L. Seidenari, and A. Del Bimbo. A cross-media model for automatic image annotation. In Proc. of ACM ICMR, 2014. 1, 2, 4
-
(2014)
Proc. of ACM ICMR
-
-
Ballan, L.1
Uricchio, T.2
Seidenari, L.3
Del Bimbo, A.4
-
6
-
-
78650972030
-
Efficient large-scale image annotation by probabilistic collaborative multi-label propagation
-
6
-
X. Chen, Y. Mu, S. Yan, and T.-S. Chua. Efficient large-scale image annotation by probabilistic collaborative multi-label propagation. In Proc. of ACM MM, 2010. 6
-
(2010)
Proc. of ACM MM
-
-
Chen, X.1
Mu, Y.2
Yan, S.3
Chua, T.-S.4
-
7
-
-
74049158146
-
NUS-WIDE: A real-world web image database from National University of Singapore
-
4, 6
-
T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y.-T. Zheng. NUS-WIDE: A real-world web image database from National University of Singapore. In Proc. of ACM CIVR, 2009. 4, 6
-
(2009)
Proc. of ACM CIVR
-
-
Chua, T.-S.1
Tang, J.2
Hong, R.3
Li, H.4
Luo, Z.5
Zheng, Y.-T.6
-
9
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
2, 3
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proc. of CVPR, 2014. 2, 3
-
(2014)
Proc. of CVPR
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
10
-
-
84922107107
-
-
CoRR, abs/1312.4894 4
-
Y. Gong, Y. Jia, T. Leung, A. Toshev, and S. Ioffe. Deep convolutional ranking for multilabel image annotation. CoRR, abs/1312.4894, 2013. 4
-
(2013)
Deep Convolutional Ranking for Multilabel Image Annotation
-
-
Gong, Y.1
Jia, Y.2
Leung, T.3
Toshev, A.4
Ioffe, S.5
-
11
-
-
84938217896
-
Multi-scale orderless pooling of deep convolutional activation features
-
1, 2, 5
-
Y. Gong, L. Wang, R. Guo, and S. Lazebnik. Multi-scale orderless pooling of deep convolutional activation features. In Proc. of ECCV, 2014. 1, 2, 5
-
(2014)
Proc. of ECCV
-
-
Gong, Y.1
Wang, L.2
Guo, R.3
Lazebnik, S.4
-
12
-
-
77953202699
-
TagProp: Discriminative metric learning in nearest neighbor models for image auto-Annotation
-
1, 2, 4
-
M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid. TagProp: Discriminative metric learning in nearest neighbor models for image auto-Annotation. In Proc. of ICCV, 2009. 1, 2, 4
-
(2009)
Proc. of ICCV
-
-
Guillaumin, M.1
Mensink, T.2
Verbeek, J.3
Schmid, C.4
-
14
-
-
84887453045
-
Towards efficient sparse coding for scalable image annotation
-
6
-
J. Huang, H. Liu, J. Shen, and S. Yan. Towards efficient sparse coding for scalable image annotation. In Proc. of ACM MM, 2013. 6
-
(2013)
Proc. of ACM MM
-
-
Huang, J.1
Liu, H.2
Shen, J.3
Yan, S.4
-
15
-
-
77952328425
-
New trends and ideas in visual concept detection: The MIR Flickr retrieval evaluation initiative
-
4
-
M. Huiskes, B. Thomee, and M. Lew. New trends and ideas in visual concept detection: the MIR Flickr retrieval evaluation initiative. In Proc. of ACM MIR, 2010. 4
-
(2010)
Proc. of ACM MIR
-
-
Huiskes, M.1
Thomee, B.2
Lew, M.3
-
16
-
-
70449560133
-
Hamming embedding and weak geometric consistency for large scale image search
-
4
-
H. Jégou, M. Douze, and C. Schmid. Hamming embedding and weak geometric consistency for large scale image search. In Proc. of ECCV, 2008. 4
-
(2008)
Proc. of ECCV
-
-
Jégou, H.1
Douze, M.2
Schmid, C.3
-
17
-
-
84865584175
-
Aggregating local descriptors into compact codes
-
2, 5
-
H. Jegou, F. Perronnin, M. Douze, J. Sanchez, P. Perez, and C. Schmid. Aggregating local descriptors into compact codes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(9):1704-1716, 2012. 2, 5
-
(2012)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.34
, Issue.9
, pp. 1704-1716
-
-
Jegou, H.1
Perronnin, F.2
Douze, M.3
Sanchez, J.4
Perez, P.5
Schmid, C.6
-
18
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
2
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Proc. of NIPS, 2012. 2
-
(2012)
Proc. of NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
19
-
-
70350333307
-
Learning social tag relevance by neighbor voting
-
1, 2, 4,6
-
X. Li, C. G. M. Snoek, and M. Worring. Learning social tag relevance by neighbor voting. IEEE Transactions on Multimedia, 11(7):1310-1322, 2009. 1, 2, 4, 6
-
(2009)
IEEE Transactions on Multimedia
, vol.11
, Issue.7
, pp. 1310-1322
-
-
Li, X.1
Snoek, C.G.M.2
Worring, M.3
-
20
-
-
84975263305
-
-
arXiv preprint arXiv: 1503.08248 1, 2, 4,6
-
X. Li, T. Uricchio, L. Ballan, M. Bertini, C. G. Snoek, and A. Del Bimbo. Socializing the semantic gap: A comparative survey on image tag assignment, refinement and retrieval. arXiv preprint arXiv:1503.08248, 2015. 1, 2, 4, 6
-
(2015)
Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment Refinement and Retrieval
-
-
Li, X.1
Uricchio, T.2
Ballan, L.3
Bertini, M.4
Snoek, C.G.5
Del Bimbo, A.6
-
21
-
-
70449580491
-
A new baseline for image annotation
-
1, 2, 4
-
A. Makadia, V. Pavlovic, and S. Kumar. A new baseline for image annotation. In Proc. of ECCV, 2008. 1, 2, 4
-
(2008)
Proc. of ECCV
-
-
Makadia, A.1
Pavlovic, V.2
Kumar, S.3
-
23
-
-
84959204055
-
Fisher vectors meet neural networks: A hybrid classification architecture
-
5
-
F. Perronnin and D. Larlus. Fisher vectors meet neural networks: A hybrid classification architecture. In Proc. of CVPR, 2015. 5
-
(2015)
Proc. of CVPR
-
-
Perronnin, F.1
Larlus, D.2
-
24
-
-
84908537903
-
CNN features off-The-shelf: An astounding baseline for visual recognition
-
2, 3, 5
-
A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson. CNN features off-The-shelf: An astounding baseline for visual recognition. In Proc. of CVPR Workshop of DeepVision, 2014. 2, 3, 5
-
(2014)
Proc. of CVPR Workshop of DeepVision
-
-
Razavian, A.S.1
Azizpour, H.2
Sullivan, J.3
Carlsson, S.4
-
26
-
-
84883487458
-
Image classification with the Fisher vector: Theory and practice
-
1, 2, 3, 4,5
-
J. Sánchez, F. Perronnin, T. Mensink, and J. Verbeek. Image classification with the Fisher vector: Theory and practice. International Journal of Computer Vision, 105(3):222-245, 2013. 1, 2, 3, 4, 5
-
(2013)
International Journal of Computer Vision
, vol.105
, Issue.3
, pp. 222-245
-
-
Sánchez, J.1
Perronnin, F.2
Mensink, T.3
Verbeek, J.4
-
27
-
-
57349196293
-
Flickr tag recommendation based on collective knowledge
-
3
-
B. Sigurbjörnsson and R. van Zwol. Flickr tag recommendation based on collective knowledge. In Proc. of WWW, 2008. 3
-
(2008)
Proc. of WWW
-
-
Sigurbjörnsson, B.1
Van Zwol, R.2
-
28
-
-
84881160857
-
Selective search for object recognition
-
2
-
J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders. Selective search for object recognition. International Journal of Computer Vision, 104(2):154-171, 2013. 2
-
(2013)
International Journal of Computer Vision
, vol.104
, Issue.2
, pp. 154-171
-
-
Uijlings, J.R.1
De Van Sande, K.E.2
Gevers, T.3
Smeulders, A.W.4
-
29
-
-
77952381653
-
Image annotation with tagprop on the MIRFLICKR set
-
4, 6
-
J. Verbeek, M. Guillaumin, T. Mensink, and C. Schmid. Image annotation with tagprop on the MIRFLICKR set. In Proc. of ACM MIR, 2010. 4, 6
-
(2010)
Proc. of ACM MIR
-
-
Verbeek, J.1
Guillaumin, M.2
Mensink, T.3
Schmid, C.4
-
30
-
-
84885412937
-
Image annotation using metric learning in semantic neighbourhoods
-
1, 2
-
Y. Verma and C. V. Jawahar. Image annotation using metric learning in semantic neighbourhoods. In Proc. of ECCV, 2012. 1, 2
-
(2012)
Proc. of ECCV
-
-
Verma, Y.1
Jawahar, C.V.2
-
31
-
-
84938908409
-
-
CoRR, abs/1406.5726 1
-
Y. Wei, W. Xia, J. Huang, B. Ni, J. Dong, Y. Zhao, and S. Yan. CNN: single-label to multi-label. CoRR, abs/1406.5726, 2014. 1
-
(2014)
CNN: Single-label to Multi-label
-
-
Wei, Y.1
Xia, W.2
Huang, J.3
Ni, B.4
Dong, J.5
Zhao, Y.6
Yan, S.7
-
32
-
-
84952053193
-
Multi-scale pyramid pooling for deep convolutional representation
-
1, 2
-
D. Yoo, S. Park, J.-Y. Lee, and I. Kweon. Multi-scale pyramid pooling for deep convolutional representation. In Proc. of CVPR Workshops, pages 71-80, 2015. 1, 2
-
(2015)
Proc. of CVPR Workshops
, pp. 71-80
-
-
Yoo, D.1
Park, S.2
Lee, J.-Y.3
Kweon, I.4
-
33
-
-
84929481075
-
Oriented pooling for dense and non-dense rotation-invariant features
-
2, 5
-
W. Zhao, H. Jegou, and G. Gravier. Oriented pooling for dense and non-dense rotation-invariant features. In Proc. of BMVC, 2013. 2, 5
-
(2013)
Proc. of BMVC
-
-
Zhao, W.1
Jegou, H.2
Gravier, G.3
-
34
-
-
84952018709
-
Edge boxes: Locating object proposals from edges
-
3
-
C. L. Zitnick and P. Dollár. Edge boxes: Locating object proposals from edges. In Proc. of ECCV, 2014. 3
-
(2014)
Proc. of ECCV
-
-
Zitnick, C.L.1
Dollár, P.2
|