-
1
-
-
84973389608
-
Analyzing the performance of multilayer neural networks for object recognition
-
P. Agrawal, R. Girshick, and J. Malik. Analyzing the performance of multilayer neural networks for object recognition. In ECCV, 2014.
-
(2014)
ECCV
-
-
Agrawal, P.1
Girshick, R.2
Malik, J.3
-
3
-
-
84911417279
-
Multiscale combinatorial grouping
-
P. Arbeláez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik. Multiscale combinatorial grouping. In CVPR, 2014.
-
(2014)
CVPR
-
-
Arbeláez, P.1
Pont-Tuset, J.2
Barron, J.3
Marques, F.4
Malik, J.5
-
4
-
-
0031189914
-
Multitask learning
-
R. Caruana. Multitask learning. Machine learning, 28:41-75, 1997.
-
(1997)
Machine Learning
, vol.28
, pp. 41-75
-
-
Caruana, R.1
-
5
-
-
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
-
6
-
-
84911443425
-
Scalable object detection using deep neural networks
-
June
-
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov. Scalable object detection using deep neural networks. In CVPR, June 2014.
-
(2014)
CVPR
-
-
Erhan, D.1
Szegedy, C.2
Toshev, A.3
Anguelov, D.4
-
7
-
-
84921069139
-
-
M. Everingham, L. V. Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The pascal visual object classes challenge 2007 (voc2007) results, 2007.
-
(2007)
The pascal visual object classes challenge 2007 (voc2007) results
-
-
Everingham, M.1
Gool, L.V.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
9
-
-
84875713469
-
Joint discriminative dimensionality reduction and dictionary learning for face recognition
-
Z. Feng, M. Yang, L. Zhang, Y. Liu, and D. Zhang. Joint discriminative dimensionality reduction and dictionary learning for face recognition. Pattern Recognition, 46:2134-2143, 2013.
-
(2013)
Pattern Recognition
, vol.46
, pp. 2134-2143
-
-
Feng, Z.1
Yang, M.2
Zhang, L.3
Liu, Y.4
Zhang, D.5
-
10
-
-
84891772600
-
Learning category-specific dictionary and shared dictionary for fine-grained image categorization
-
Feb
-
S. Gao, I.-H. Tsang, and Y. Ma. Learning category-specific dictionary and shared dictionary for fine-grained image categorization. Image Processing, IEEE Transactions on, 23(2):623-634, Feb 2014.
-
(2014)
Image Processing, IEEE Transactions on
, vol.23
, Issue.2
, pp. 623-634
-
-
Gao, S.1
Tsang, I.-H.2
Ma, Y.3
-
11
-
-
84973864191
-
Object detection via a multiregion & semantic segmentation-aware cnn model
-
S. Gidaris and N. Komodakis. Object detection via a multiregion & semantic segmentation-aware cnn model. In ICCV, 2015.
-
(2015)
ICCV
-
-
Gidaris, S.1
Komodakis, N.2
-
12
-
-
85029359197
-
Fast r-cnn
-
R. Girshick. Fast r-cnn. In ICCV, 2015.
-
(2015)
ICCV
-
-
Girshick, R.1
-
13
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014.
-
(2014)
CVPR
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
14
-
-
84959195179
-
Deformable part models are convolutional neural networks
-
R. Girshick, F. Iandola, T. Darrell, and J. Malik. Deformable part models are convolutional neural networks. In CVPR, 2015.
-
(2015)
CVPR
-
-
Girshick, R.1
Iandola, F.2
Darrell, T.3
Malik, J.4
-
16
-
-
84939247735
-
Spatial pyramid pooling in deep convolutional networks for visual recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. TPAMI, 2015.
-
(2015)
TPAMI
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
17
-
-
84924803045
-
Lsda: Large scale detection through adaptation
-
J. Hoffman, S. Guadarrama, E. S. Tzeng, R. Hu, J. Donahue, R. Girshick, T. Darrell, and K. Saenko. Lsda: Large scale detection through adaptation. In Advances in Neural Information Processing Systems, pages 3536-3544, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 3536-3544
-
-
Hoffman, J.1
Guadarrama, S.2
Tzeng, E.S.3
Hu, R.4
Donahue, J.5
Girshick, R.6
Darrell, T.7
Saenko, K.8
-
18
-
-
84884571014
-
Label consistent k-SVD: Learning a discriminative dictionary for recognition
-
Z. Jiang, Z. Lin, and L. Davis. Label consistent k-svd: learning a discriminative dictionary for recognition. TPAMI, 34, 2013.
-
(2013)
TPAMI
, vol.34
-
-
Jiang, Z.1
Lin, Z.2
Davis, L.3
-
20
-
-
0000494467
-
Handwritten digit recognition with a back-propagation network
-
Y. LeCun, B. Boser, J. Denker, D. Henderson, R. Howard, W. Hubbard, and L. Jackel. Handwritten digit recognition with a back-propagation network. In Advances in neural information processing systems, 1990.
-
(1990)
Advances in Neural Information Processing Systems
-
-
LeCun, Y.1
Boser, B.2
Denker, J.3
Henderson, D.4
Howard, R.5
Hubbard, W.6
Jackel, L.7
-
21
-
-
80052726060
-
Representing and recognizing objects with massive local image patches
-
L. Lin, P. Luo, X. Chen, and K. Zeng. Representing and recognizing objects with massive local image patches. Pattern Recognition, 45:231-240, 2012.
-
(2012)
Pattern Recognition
, vol.45
, pp. 231-240
-
-
Lin, L.1
Luo, P.2
Chen, X.3
Zeng, K.4
-
22
-
-
84857419890
-
Task-driven dictionary learning
-
J. Mairal, F. Bach, and J. Ponce. Task-driven dictionary learning. TPAMI, 35, 2012.
-
(2012)
TPAMI
, vol.35
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
-
23
-
-
77955994663
-
Classification and clustering via dictionary learning with structured incoherence and shared features
-
I. Ramirez, P. Sprechmann, and G. Sapiro. Classification and clustering via dictionary learning with structured incoherence and shared features. In CVPR, 2010.
-
(2010)
CVPR
-
-
Ramirez, I.1
Sprechmann, P.2
Sapiro, G.3
-
24
-
-
84960980241
-
Faster r-cnn: Towards real-time object detection with region proposal networks
-
S. Ren, K. He, R. Girshick, and J. Sun. Faster r-cnn: Towards real-time object detection with region proposal networks. In NIPS, 2015.
-
(2015)
NIPS
-
-
Ren, S.1
He, K.2
Girshick, R.3
Sun, J.4
-
25
-
-
84961891410
-
-
arXiv:1504.06066 [cs.CV]
-
S. Ren, K. He, R. Girshick, X. Zhang, and J. Sun. Object detection networks on convolutional feature maps. In arXiv:1504.06066 [cs.CV], 2015.
-
(2015)
Object Detection Networks on Convolutional Feature Maps
-
-
Ren, S.1
He, K.2
Girshick, R.3
Zhang, X.4
Sun, J.5
-
26
-
-
85083951635
-
Overfeat: Integrated recognition, localization and detection using convolutional networks
-
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. In ICLR 2014, April 2014.
-
(2014)
ICLR
, pp. April
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
LeCun, Y.6
-
27
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. In ICLR, 2015.
-
(2015)
ICLR
-
-
Simonyan, K.1
Zisserman, A.2
-
28
-
-
84973926705
-
Going deeper with convolutions
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. In CVPR, 2014.
-
(2014)
CVPR
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
29
-
-
84962336509
-
-
CoRR, abs/1412.1441
-
C. Szegedy, S. Reed, D. Erhan, and D. Anguelov. Scalable, high-quality object detection. CoRR, abs/1412.1441, 2014.
-
(2014)
Scalable, High-quality Object Detection
-
-
Szegedy, C.1
Reed, S.2
Erhan, D.3
Anguelov, D.4
-
32
-
-
84959203164
-
End-to-end integration of a convolution network, deformable parts model and nonmaximum suppression
-
L. Wan, D. Eigen, and R. Fergus. End-to-end integration of a convolution network, deformable parts model and nonmaximum suppression. In CVPR, 2015.
-
(2015)
CVPR
-
-
Wan, L.1
Eigen, D.2
Fergus, R.3
-
33
-
-
84887381206
-
Incorporating structural alternatives and sharing into hierarchy for multiclass object recognition and detection
-
X. Wang, L. Lin, L. Huang, and S. Yan. Incorporating structural alternatives and sharing into hierarchy for multiclass object recognition and detection. In CVPR, 2013.
-
(2013)
CVPR
-
-
Wang, X.1
Lin, L.2
Huang, L.3
Yan, S.4
-
34
-
-
84898769710
-
Regionlets for generic object detection
-
X.Wang, M. Yang, S. Zhu, and Y. Lin. Regionlets for generic object detection. In ICCV, 2013.
-
(2013)
ICCV
-
-
Wang, X.1
Yang, M.2
Zhu, S.3
Lin, Y.4
-
35
-
-
61549128441
-
Robust face recognition via sparse representation
-
J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma. Robust face recognition via sparse representation. TPAMI, 31, 2008.
-
(2008)
TPAMI
, vol.31
-
-
Wright, J.1
Yang, A.Y.2
Ganesh, A.3
Sastry, S.S.4
Ma, Y.5
-
36
-
-
84905671639
-
Sparse representation based fisher discrimination dictionary learning for image classification
-
M. Yang, L. Zhang, X. Feng, and D. Zhang. Sparse representation based fisher discrimination dictionary learning for image classification. IJCV, 109, 2014.
-
(2014)
IJCV
, vol.109
-
-
Yang, M.1
Zhang, L.2
Feng, X.3
Zhang, D.4
-
37
-
-
84863011302
-
Sparse representation or collaborative representation: Which helps face recognition?
-
L. Zhang, M. Yang, and X. Feng. Sparse representation or collaborative representation: Which helps face recognition? In ICCV, 2011.
-
(2011)
ICCV
-
-
Zhang, L.1
Yang, M.2
Feng, X.3
-
38
-
-
84959196836
-
Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction
-
Y. Zhang, K. Sohn, R. Villegas, G. Pan, and H. Lee. Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction. In CVPR, 2015.
-
(2015)
CVPR
-
-
Zhang, Y.1
Sohn, K.2
Villegas, R.3
Pan, G.4
Lee, H.5
-
39
-
-
84959233955
-
Segdeepm: Exploiting segmentation and context in deep neural networks for object detection
-
June
-
Y. Zhu, R. Urtasun, R. Salakhutdinov, and S. Fidler. segdeepm: Exploiting segmentation and context in deep neural networks for object detection. In CVPR, June 2015.
-
(2015)
CVPR
-
-
Zhu, Y.1
Urtasun, R.2
Salakhutdinov, R.3
Fidler, S.4
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