-
1
-
-
56749159833
-
Training hierarchical feed-forward visual recognition models using transfer learning from pseudo-tasks
-
A. Ahmed, K. Yu, W. Xu, Y. Gong, E. Xing, Training hierarchical feed-forward visual recognition models using transfer learning from pseudo-tasks, in: European Conference on Computer Vision (ECCV), 2008, pp. 69-82.
-
(2008)
European Conference on Computer Vision (ECCV)
, pp. 69-82
-
-
Ahmed, A.1
Yu, K.2
Xu, W.3
Gong, Y.4
Xing, E.5
-
2
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
A. Beck, and M. Teboulle A fast iterative shrinkage-thresholding algorithm for linear inverse problems SIAM J. Imaging Sci. 2 2009 183 202
-
(2009)
SIAM J. Imaging Sci.
, vol.2
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
3
-
-
77955993281
-
Learning mid-level features for recognition
-
Y.L. Boureau, F. Bach, Y. LeCun, J. Ponce, Learning mid-level features for recognition, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, pp. 2559-2566.
-
(2010)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 2559-2566
-
-
Boureau, Y.L.1
Bach, F.2
LeCun, Y.3
Ponce, J.4
-
4
-
-
84898420173
-
The devil is in the details: an evaluation of recent feature encoding methods
-
K. Chatfield, V. Lempitsky, A. Vedaldi, A. Zisserman, The devil is in the details: an evaluation of recent feature encoding methods, in: British Machine Vision Conference (BMVC), 2011, pp. 1-12.
-
(2011)
British Machine Vision Conference (BMVC)
, pp. 1-12
-
-
Chatfield, K.1
Lempitsky, V.2
Vedaldi, A.3
Zisserman, A.4
-
5
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
N. Dalal, B. Triggs, Histograms of oriented gradients for human detection, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005, vol. 2, pp. 886-893.
-
(2005)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, vol.2
, pp. 886-893
-
-
Dalal, N.1
Triggs, B.2
-
6
-
-
0021182724
-
Stimulus-selective properties of inferior temporal neurons in the macaque
-
R. Desimone, T.D. Albright, C.G. Gross, and C. Bruce Stimulus-selective properties of inferior temporal neurons in the macaque J. Neurosci. 4 1984 2051 2062
-
(1984)
J. Neurosci.
, vol.4
, pp. 2051-2062
-
-
Desimone, R.1
Albright, T.D.2
Gross, C.G.3
Bruce, C.4
-
7
-
-
51849167307
-
-
M. Everingham, L. Van Gool, C. Williams, J. Winn, A. Zisserman, The Pascal visual object classes challenge 2007 (voc2007) results (2007), 2007.
-
(2007)
The Pascal visual object classes challenge 2007 (voc2007) results (2007)
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.3
Winn, J.4
Zisserman, A.5
-
8
-
-
34047174674
-
Learning generative visual models from few training examples an incremental Bayesian approach tested on 101 object categories
-
L. Fei-Fei, R. Fergus, and P. Perona Learning generative visual models from few training examples an incremental Bayesian approach tested on 101 object categories Comput. Vis. Image Underst. 106 2007 59 70
-
(2007)
Comput. Vis. Image Underst.
, vol.106
, pp. 59-70
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
10
-
-
56749102464
-
Kernel codebooks for scene categorization
-
J. van Gemert, J.M. Geusebroek, C.J. Veenman, A.W.M. Smeulders, Kernel codebooks for scene categorization, in: European Conference on Computer Vision (ECCV), 2008, pp. 696-709.
-
(2008)
European Conferenceon Computer Vision (ECCV)
, pp. 696-709
-
-
Van Gemert, J.1
Geusebroek, J.M.2
Veenman, C.J.3
Smeulders, A.W.M.4
-
11
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, J. Donahue, T. Darrell, J. Malik, Rich feature hierarchies for accurate object detection and semantic segmentation, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, pp. 580-587.
-
(2014)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 580-587
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
12
-
-
34948904828
-
Caltech-256 object category dataset
-
California Institute of Technology
-
G. Griffin, A. Holub, P. Perona, Caltech-256 object category dataset, Technical Report 7694, California Institute of Technology, 2007.
-
(2007)
Technical Report 7694
-
-
Griffin, G.1
Holub, A.2
Perona, P.3
-
13
-
-
77953202990
-
Combining efficient object localization and image classification
-
H. Harzallah, F. Jurie, C. Schmid, Combining efficient object localization and image classification, in: International Conference on Computer Vision (ICCV), 2009, pp. 237-244.
-
(2009)
International Conference on Computer Vision (ICCV)
, pp. 237-244
-
-
Harzallah, H.1
Jurie, F.2
Schmid, C.3
-
14
-
-
84906508687
-
Spatial pyramid pooling in deep convolutional networks for visual recognition
-
K. He, X. Zhang, S. Ren, J. Sun, Spatial pyramid pooling in deep convolutional networks for visual recognition, in: European Conference on Computer Vision (ECCV), 2014, pp. 346-361.
-
(2014)
European Conference on Computer Vision (ECCV)
, pp. 346-361
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
15
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G.E. Hinton, and S. Osindero A fast learning algorithm for deep belief nets Neural Comput. 18 2006 1527 1554
-
(2006)
Neural Comput.
, vol.18
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
-
16
-
-
84867720412
-
-
CoRR abs/1207.0580
-
G.E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, R. Salakhutdinov, Improving neural networks by preventing co-adaptation of feature detectors, CoRR abs/1207.0580, 2012.
-
(2012)
Improving neural networks by preventing co-adaptation of feature detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
17
-
-
0037780988
-
Modeling receptive fields with non-negative sparse coding
-
P.O. Hoyer Modeling receptive fields with non-negative sparse coding Neurocomputing 52-54 2003 547 552
-
(2003)
Neurocomputing
, vol.52-54
, pp. 547-552
-
-
Hoyer, P.O.1
-
18
-
-
34948870900
-
Unsupervised learning of invariant feature hierarchies with applications to object recognition
-
F.J. Huang, Y. lan Boureau, Y. Lecun, Unsupervised learning of invariant feature hierarchies with applications to object recognition, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007, pp. 1-8.
-
(2007)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1-8
-
-
Huang, F.J.1
Lan Boureau, Y.2
Lecun, Y.3
-
19
-
-
33645410496
-
Receptive fields, binocular interaction, and functional architecture in the cat's visual cortex
-
D.H. Hubel, and T.N. Wiesel Receptive fields, binocular interaction, and functional architecture in the cat's visual cortex J. Physiol. 160 1962 106 154
-
(1962)
J. Physiol.
, vol.160
, pp. 106-154
-
-
Hubel, D.H.1
Wiesel, T.N.2
-
20
-
-
85162460675
-
Learning convolutional feature hierarchies for visual recognition
-
K. Kavukcuoglu, P. Sermanet, Y.L. Boureau, K. Gregor, M. Mathieu, Y. LeCun, Learning convolutional feature hierarchies for visual recognition, in: Advances in Neural Information Processing Systems (NIPS), 2010, pp. 1090-1098.
-
(2010)
Advances in Neural Information Processing Systems (NIPS)
, pp. 1090-1098
-
-
Kavukcuoglu, K.1
Sermanet, P.2
Boureau, Y.L.3
Gregor, K.4
Mathieu, M.5
LeCun, Y.6
-
21
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, G.E. Hinton, Imagenet classification with deep convolutional neural networks, in: Advances in Neural Information Processing Systems (NIPS), 2012, pp. 1097-1105.
-
(2012)
Advances in Neural Information Processing Systems (NIPS)
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
22
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
S. Lazebnik, C. Schmid, J. Ponce, Beyond bags of features: spatial pyramid matching for recognizing natural scene categories, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006, vol. 2, pp. 2169-2178.
-
(2006)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, vol.2
, pp. 2169-2178
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
23
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner Gradient-based learning applied to document recognition Proc. IEEE 86 1998 2278 2324
-
(1998)
Proc. IEEE
, vol.86
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
24
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
H. Lee, R. Grosse, R. Ranganath, A.Y. Ng, Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, in: International Conference on Machine Learning (ICML), 2009, pp. 609-616.
-
(2009)
International Conference on Machine Learning (ICML)
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
25
-
-
85162513516
-
Object bank: a high-level image representation for scene classification and semantic feature sparsification
-
L.J. Li, H. Su, E.P. Xing, L. Fei-Fei, Object bank: a high-level image representation for scene classification and semantic feature sparsification, in: Advances in Neural Information Processing Systems (NIPS), 2010, pp. 1378-1386.
-
(2010)
Advances in Neural Information Processing Systems (NIPS)
, pp. 1378-1386
-
-
Li, L.J.1
Su, H.2
Xing, E.P.3
Fei-Fei, L.4
-
26
-
-
21344435992
-
Invariant visual representation by single neurons in the human brain
-
R.Q. Quiroga, L. Reddy, G. Kreiman, C. Koch, and I. Fried Invariant visual representation by single neurons in the human brain Nature 435 2005 1102 1107
-
(2005)
Nature
, vol.435
, pp. 1102-1107
-
-
Quiroga, R.Q.1
Reddy, L.2
Kreiman, G.3
Koch, C.4
Fried, I.5
-
27
-
-
0033316361
-
Hierarchical models of object recognition in cortex
-
M. Riesenhuber, and T. Poggio Hierarchical models of object recognition in cortex Nat. Neurosci. 2 1999 1019 1025
-
(1999)
Nat. Neurosci.
, vol.2
, pp. 1019-1025
-
-
Riesenhuber, M.1
Poggio, T.2
-
29
-
-
33847380121
-
Robust object recognition with cortex-like mechanisms
-
T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber, and T. Poggio Robust object recognition with cortex-like mechanisms IEEE Trans. Pattern Anal. Mach. Intell. 29 2007 411 426
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, pp. 411-426
-
-
Serre, T.1
Wolf, L.2
Bileschi, S.3
Riesenhuber, M.4
Poggio, T.5
-
30
-
-
80052891624
-
Contextualizing object detection and classification
-
Z. Song, Q. Chen, Z. Huang, Y. Hua, S. Yan, Contextualizing object detection and classification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, pp. 1585-1592.
-
(2011)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1585-1592
-
-
Song, Z.1
Chen, Q.2
Huang, Z.3
Hua, Y.4
Yan, S.5
-
31
-
-
84911198048
-
Deepface: Closing the gap to human-level performance in face verification
-
Y. Taigman, M. Yang, M. Ranzato, L. Wolf, Deepface: closing the gap to human-level performance in face verification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, pp. 1701-1708.
-
(2014)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1701-1708
-
-
Taigman, Y.1
Yang, M.2
Ranzato, M.3
Wolf, L.4
-
32
-
-
84897550107
-
Regularization of neural network using dropconnect
-
L. Wan, M. Zeiler, S. Zhang, Y. LeCun, R. Fergus, Regularization of neural network using dropconnect, in: International Conference on Machine Learning (ICML), 2013, vol. 28, pp. 1058-1066.
-
(2013)
International Conference on Machine Learning (ICML)
, vol.28
, pp. 1058-1066
-
-
Wan, L.1
Zeiler, M.2
Zhang, S.3
LeCun, Y.4
Fergus, R.5
-
33
-
-
70450209196
-
Linear spatial pyramid matching using sparse coding for image classification
-
J. Yang, K. Yu, Y. Gong, T. Huang, Linear spatial pyramid matching using sparse coding for image classification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009, pp. 1794-1801.
-
(2009)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1794-1801
-
-
Yang, J.1
Yu, K.2
Gong, Y.3
Huang, T.4
-
34
-
-
80052889296
-
Learning image representations from the pixel level via hierarchical sparse coding
-
K. Yu, Y. Lin, J. Lafferty, Learning image representations from the pixel level via hierarchical sparse coding, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, pp. 1713-1720.
-
(2011)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1713-1720
-
-
Yu, K.1
Lin, Y.2
Lafferty, J.3
-
37
-
-
77956001004
-
Deconvolutional networks
-
M.D. Zeiler, D. Krishnan, G.W. Taylor, R. Fergus, Deconvolutional networks, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, pp. 2528-2535.
-
(2010)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 2528-2535
-
-
Zeiler, M.D.1
Krishnan, D.2
Taylor, G.W.3
Fergus, R.4
-
38
-
-
84856686379
-
Adaptive deconvolutional networks for mid and high level feature learning
-
M.D. Zeiler, G.W. Taylor, R. Fergus, Adaptive deconvolutional networks for mid and high level feature learning, in: International Conference on Computer Vision (ICCV), 2011, pp. 2018-2025.
-
(2011)
International Conference on Computer Vision (ICCV)
, pp. 2018-2025
-
-
Zeiler, M.D.1
Taylor, G.W.2
Fergus, R.3
|