-
1
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in Proc. Neural Inf. Process. Syst., 2012, pp. 1106-1114.
-
(2012)
Proc. Neural Inf. Process. Syst.
, pp. 1106-1114
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
4
-
-
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 Proc. Int. Conf. Learn. Represent., 2014.
-
(2014)
Proc. Int. Conf. Learn. Represent.
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
LeCun, Y.6
-
5
-
-
84961595279
-
Region-based convolutional networks for accurate object detection and segmentation
-
Jan.
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Region-based convolutional networks for accurate object detection and segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 38, no. 1, pp. 142-158, Jan. 2015.
-
(2015)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.38
, Issue.1
, pp. 142-158
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
6
-
-
84906508687
-
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," in Proc. Eur. Conf. Comput. Vis., 2014, pp. 346-361.
-
(2014)
Proc. Eur. Conf. Comput. Vis.
, pp. 346-361
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
7
-
-
84906514027
-
Part-based R-CNNs for fine-grained category detection
-
N. Zhang, J. Donahue, R. Girshick, and T. Darrell, "Part-based R-CNNs for fine-grained category detection," in Proc. Eur. Conf. Comput. Vis., 2014, pp. 834-849.
-
(2014)
Proc. Eur. Conf. Comput. Vis.
, pp. 834-849
-
-
Zhang, N.1
Donahue, J.2
Girshick, R.3
Darrell, T.4
-
10
-
-
26444512083
-
Toward automatic phenotyping of developing embryos from videos
-
Sep.
-
F. Ning, D. Delhomme, Y. LeCun, F. Piano, L. Bottou, and P. E. Barbano, "Toward automatic phenotyping of developing embryos from videos," IEEE Trans. Image Process., vol. 14, no. 9, pp. 1360-1371, Sep. 2005.
-
(2005)
IEEE Trans. Image Process.
, vol.14
, Issue.9
, pp. 1360-1371
-
-
Ning, F.1
Delhomme, D.2
LeCun, Y.3
Piano, F.4
Bottou, L.5
Barbano, P.E.6
-
11
-
-
84877789057
-
Deep neural networks segment neuronal membranes in electron microscopy images
-
D. C. Ciresan, A. Giusti, L. M. Gambardella, and J. Schmidhuber, "Deep neural networks segment neuronal membranes in electron microscopy images," in Proc. Neural Inf. Process. Syst., 2012, pp. 2852-2860.
-
(2012)
Proc. Neural Inf. Process. Syst.
, pp. 2852-2860
-
-
Ciresan, D.C.1
Giusti, A.2
Gambardella, L.M.3
Schmidhuber, J.4
-
12
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
Aug.
-
C. Farabet, C. Couprie, L. Najman, and Y. LeCun, "Learning hierarchical features for scene labeling," Proc. IEEE Trans. Pattern Anal. Mach. Intel., vol. 35, no. 8, pp. 1915-1929, Aug. 2013.
-
(2013)
Proc. IEEE Trans. Pattern Anal. Mach. Intel.
, vol.35
, Issue.8
, pp. 1915-1929
-
-
Farabet, C.1
Couprie, C.2
Najman, L.3
LeCun, Y.4
-
14
-
-
84906342998
-
Simultaneous detection and segmentation
-
B. Hariharan, P. Arbelaez, R. Girshick, and J. Malik, "Simultaneous detection and segmentation," in Proc. Eur. Conf. Comput. Vis., 2014, pp. 297-312.
-
(2014)
Proc. Eur. Conf. Comput. Vis.
, pp. 297-312
-
-
Hariharan, B.1
Arbelaez, P.2
Girshick, R.3
Malik, J.4
-
15
-
-
84906344142
-
Learning rich features from RGB-D images for object detection and segmentation
-
S. Gupta, R. Girshick, P. Arbelaez, and J. Malik, "Learning rich features from RGB-D images for object detection and segmentation," in Proc. Eur. Conf. Comput. Vis., 2014, pp. 345-360.
-
(2014)
Proc. Eur. Conf. Comput. Vis.
, pp. 345-360
-
-
Gupta, S.1
Girshick, R.2
Arbelaez, P.3
Malik, J.4
-
16
-
-
84959181749
-
N4-fields: Neural network nearest neighbor fields for image transforms
-
Y. Ganin and V. Lempitsky, "N4-fields: Neural network nearest neighbor fields for image transforms," in Proc. Asian Conf. Comput. Vis., 2014, pp. 536-551.
-
(2014)
Proc. Asian Conf. Comput. Vis.
, pp. 536-551
-
-
Ganin, Y.1
Lempitsky, V.2
-
18
-
-
84904482223
-
DeCAF: A deep convolutional activation feature for generic visual recognition
-
J. Donahue, et al., "DeCAF: A deep convolutional activation feature for generic visual recognition," in Proc. Int. Conf. Mach. Learn., 2014, pp. 647-655.
-
(2014)
Proc. Int. Conf. Mach. Learn.
, pp. 647-655
-
-
Donahue, J.1
-
19
-
-
84906489074
-
Visualizing andunderstanding convolutionalnetworks
-
M.D.Zeiler andR. Fergus, "Visualizing andunderstanding convolutionalnetworks," inProc.Eur.Conf.Comput.Vis.,2014, pp. 818-833.
-
(2014)
Proc. Eur. Conf. Comput.Vis.
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
20
-
-
0039870910
-
Multi-digit recognition using a space displacement neural network
-
O. Matan, C. J. Burges, Y. LeCun, and J. S. Denker, "Multi-digit recognition using a space displacement neural network," in Proc. Neural Inf. Process. Syst., 1991, pp. 488-495.
-
(1991)
Proc. Neural Inf. Process. Syst.
, pp. 488-495
-
-
Matan, O.1
Burges, C.J.2
LeCun, Y.3
Denker, J.S.4
-
21
-
-
0000359337
-
Backpropagation applied to hand-written zip code recognition
-
Y. LeCun, et al., "Backpropagation applied to hand-written zip code recognition," in Proc. Neural Comput., 1989, pp. 541-551.
-
(1989)
Proc. Neural Comput.
, pp. 541-551
-
-
LeCun, Y.1
-
22
-
-
33646900230
-
Postal address block location using a convolutional locator network
-
R. Wolf and J. C. Platt, "Postal address block location using a convolutional locator network," in Proc. Neural Inf. Process. Syst., 1994, pp. 745-745.
-
(1994)
Proc. Neural Inf. Process. Syst.
, pp. 745
-
-
Wolf, R.1
Platt, J.C.2
-
23
-
-
84898798806
-
Restoring an image taken through a window covered with dirt or rain
-
D. Eigen, D. Krishnan, and R. Fergus, "Restoring an image taken through a window covered with dirt or rain," in Proc. Int. Conf. Comput. Vis., 2013, pp. 633-640.
-
(2013)
Proc. Int. Conf. Comput. Vis.
, pp. 633-640
-
-
Eigen, D.1
Krishnan, D.2
Fergus, R.3
-
24
-
-
84930634156
-
Joint training of a convolutional network and a graphical model for human pose estimation
-
J. Tompson, A. Jain, Y. LeCun, and C. Bregler, "Joint training of a convolutional network and a graphical model for human pose estimation," in Proc. Neural Inf. Process. Syst., 2014, pp. 1799-1807.
-
(2014)
Proc. Neural Inf. Process. Syst.
, pp. 1799-1807
-
-
Tompson, J.1
Jain, A.2
LeCun, Y.3
Bregler, C.4
-
25
-
-
84937943470
-
Depth map prediction from a single image using a multi-scale deep network
-
D. Eigen, C. Puhrsch, and R. Fergus, "Depth map prediction from a single image using a multi-scale deep network," in Proc. Neural Inf. Process. Syst., 2014, pp. 2366-2374.
-
(2014)
Proc. Neural Inf. Process. Syst.
, pp. 2366-2374
-
-
Eigen, D.1
Puhrsch, C.2
Fergus, R.3
-
26
-
-
0020737631
-
The Laplacian pyramid as a compact image code
-
Apr.
-
P. Burt and E. Adelson, "The Laplacian pyramid as a compact image code," IEEE Trans. Commun., vol. 31, no. 4, pp. 532-540, Apr. 1983.
-
(1983)
IEEE Trans. Commun.
, vol.31
, Issue.4
, pp. 532-540
-
-
Burt, P.1
Adelson, E.2
-
27
-
-
0023141705
-
Representation of local geometry in the visual system
-
Mar.
-
J. J. Koenderink and A. J. van Doorn, "Representation of local geometry in the visual system," Biol. Cybern., vol. 55, no. 6, pp. 367-375, Mar. 1987.
-
(1987)
Biol. Cybern.
, vol.55
, Issue.6
, pp. 367-375
-
-
Koenderink, J.J.1
Van Doorn, A.J.2
-
28
-
-
84887328988
-
Pedestrian detection with unsupervised multi-stage feature learning
-
P. Sermanet, K. Kavukcuoglu, S. Chintala, and Y. LeCun, "Pedestrian detection with unsupervised multi-stage feature learning," in Proc. Comput. Vis. Pattern Recognit., 2013, pp. 3626-3633.
-
(2013)
Proc. Comput. Vis. Pattern Recognit.
, pp. 3626-3633
-
-
Sermanet, P.1
Kavukcuoglu, K.2
Chintala, S.3
LeCun, Y.4
-
29
-
-
84959236250
-
Hypercolumns for object segmentation and fine-grained localization
-
B. Hariharan, P. Arbelaez, R. Girshick, and J. Malik, "Hypercolumns for object segmentation and fine-grained localization," in Proc. Comput. Vis. Pattern Recognit., 2015, pp. 447-456.
-
(2015)
Proc. Comput. Vis. Pattern Recognit.
, pp. 447-456
-
-
Hariharan, B.1
Arbelaez, P.2
Girshick, R.3
Malik, J.4
-
30
-
-
84959207702
-
Feedforward semantic segmentation with zoom-out features
-
M. Mostajabi, P. Yadollahpour, and G. Shakhnarovich, "Feedforward semantic segmentation with zoom-out features," in Proc. Comput. Vis. Pattern Recognit., 2015, pp. 3376-3385.
-
(2015)
Proc. Comput. Vis. Pattern Recognit.
, pp. 3376-3385
-
-
Mostajabi, M.1
Yadollahpour, P.2
Shakhnarovich, G.3
-
31
-
-
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 Proc. Neural Inf. Process. Syst., 2015, pp. 91-99.
-
(2015)
Proc. Neural Inf. Process. Syst.
, pp. 91-99
-
-
Ren, S.1
He, K.2
Girshick, R.3
Sun, J.4
-
32
-
-
84973859794
-
Holistically-nested edge detection
-
S. Xie and Z. Tu, "Holistically-nested edge detection," in Proc. Int. Conf. Comput. Vis., 2015, pp. 1395-1403.
-
(2015)
Proc. Int. Conf. Comput. Vis.
, pp. 1395-1403
-
-
Xie, S.1
Tu, Z.2
-
33
-
-
84986257303
-
Learning depth from single monocular images using deep convolutional neural fields
-
F. Liu, C. Shen, G. Lin, and I. Reid, "Learning depth from single monocular images using deep convolutional neural fields," IEEE Trans. Pattern Anal. Mach. Intell., 2015, Doi: 10.1109/TPAMI.2015.2505283.
-
(2015)
IEEE Trans. Pattern Anal. Mach. Intell.
-
-
Liu, F.1
Shen, C.2
Lin, G.3
Reid, I.4
-
34
-
-
85009841433
-
Learning optical flow with convolutional networks
-
P. Fischer, et al., "Learning optical flow with convolutional networks," in Proc. Int. Conf. Comput. Vis., 2015.
-
(2015)
Proc. Int. Conf. Comput. Vis.
-
-
Fischer, P.1
-
35
-
-
84973922870
-
Constrained convolutional neural networks for weakly supervised segmentation
-
D. Pathak, P. Krähenbühl, and T. Darrell, "Constrained convolutional neural networks for weakly supervised segmentation," in Proc. Int. Conf. Comput. Vis., 2015, pp. 1796-1804.
-
(2015)
Proc. Int. Conf. Comput. Vis.
, pp. 1796-1804
-
-
Pathak, D.1
Krähenbühl, P.2
Darrell, T.3
-
36
-
-
84973863204
-
Weakly-and semi-supervised learning of a DCNN for semantic image segmentation
-
G. Papandreou, L.-C. Chen, K. Murphy, and A. L. Yuille, "Weakly-and semi-supervised learning of a DCNN for semantic image segmentation," in Proc. Int. Conf. Comput. Vis., 2015, pp. 1742-1750.
-
(2015)
Proc. Int. Conf. Comput. Vis.
, pp. 1742-1750
-
-
Papandreou, G.1
Chen, L.-C.2
Murphy, K.3
Yuille, A.L.4
-
37
-
-
84973890848
-
Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
-
J. Dai, K. He, and J. Sun, "Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation," in Proc. Int. Conf. Comput. Vis., 2015, pp. 1635-1643.
-
(2015)
Proc. Int. Conf. Comput. Vis.
, pp. 1635-1643
-
-
Dai, J.1
He, K.2
Sun, J.3
-
38
-
-
84965099276
-
Decoupled deep neural network for semi-supervised semantic segmentation
-
S. Hong, H. Noh, and B. Han, "Decoupled deep neural network for semi-supervised semantic segmentation," in Proc. Neural Inf. Process. Syst., 2015, pp. 1495-1503.
-
(2015)
Proc. Neural Inf. Process. Syst.
, pp. 1495-1503
-
-
Hong, S.1
Noh, H.2
Han, B.3
-
39
-
-
85083954148
-
Semantic image segmentation with deep convolutional nets and fully connected CRFs
-
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille, "Semantic image segmentation with deep convolutional nets and fully connected CRFs," in Proc. Int. Conf. Learn. Represent., 2015.
-
(2015)
Proc. Int. Conf. Learn. Represent.
-
-
Chen, L.-C.1
Papandreou, G.2
Kokkinos, I.3
Murphy, K.4
Yuille, A.L.5
-
40
-
-
84973861983
-
Conditional random fields as recurrent neural networks
-
S. Zheng, et al., "Conditional random fields as recurrent neural networks," in Proc. Int. Conf. Comput. Vis., 2015, pp. 1529-1537.
-
(2015)
Proc. Int. Conf. Comput. Vis.
, pp. 1529-1537
-
-
Zheng, S.1
-
42
-
-
84973879016
-
Learning deconvolution network for semantic segmentation
-
H. Noh, S. Hong, and B. Han, "Learning deconvolution network for semantic segmentation," in Proc. Int. Conf. Comput. Vis., 2015, pp. 1520-1528.
-
(2015)
Proc. Int. Conf. Comput. Vis.
, pp. 1520-1528
-
-
Noh, H.1
Hong, S.2
Han, B.3
-
43
-
-
84951834022
-
U-Net: Convolutional networks for biomedical image segmentation
-
O. Ronneberger, P. Fischer, and T. Brox, "U-Net: Convolutional networks for biomedical image segmentation," in Proc. Med. Image Comput. Comput.-Assist. Intervention, 2015, pp. 234-241.
-
(2015)
Proc. Med. Image Comput. Comput.-Assist. Intervention
, pp. 234-241
-
-
Ronneberger, O.1
Fischer, P.2
Brox, T.3
-
45
-
-
84897769461
-
Fast image scanning with deep max-pooling convolutional neural networks
-
A. Giusti, D. C. Ciresan, J. Masci, L. M. Gambardella, and J. Schmidhuber, "Fast image scanning with deep max-pooling convolutional neural networks," in Proc. Int. Conf. Image Process., 2013, pp. 4034-4038.
-
(2013)
Proc. Int. Conf. Image Process.
, pp. 4034-4038
-
-
Giusti, A.1
Ciresan, D.C.2
Masci, J.3
Gambardella, L.M.4
Schmidhuber, J.5
-
46
-
-
0000698134
-
A real-time algorithm for signal analysis with the help of the wavelet transform
-
M. Holschneider, R. Kronland-Martinet, J. Morlet, and P. Tchamitchian, "A real-time algorithm for signal analysis with the help of the wavelet transform," in Proc. Int. Conf. Time-Freq. Methods Phase Space, 1989, pp. 286-297.
-
(1989)
Proc. Int. Conf. Time-Freq. Methods Phase Space
, pp. 286-297
-
-
Holschneider, M.1
Kronland-Martinet, R.2
Morlet, J.3
Tchamitchian, P.4
-
48
-
-
0025244687
-
Multirate digital filters, filter banks, polyphase networks, and applications: A tutorial
-
Jan.
-
P. P. Vaidyanathan, "Multirate digital filters, filter banks, polyphase networks, and applications: A tutorial," Proc. IEEE, vol. 78, no. 1, pp. 56-93, Jan. 1990.
-
(1990)
Proc. IEEE
, vol.78
, Issue.1
, pp. 56-93
-
-
Vaidyanathan, P.P.1
-
49
-
-
84897550107
-
Regularization of neural networks using DropConnect
-
L. Wan, M. Zeiler, S. Zhang, Y. L. Cun, and R. Fergus, "Regularization of neural networks using DropConnect," in Proc. Int. Conf. Mach. Learn., 2013, pp. 1058-1066.
-
(2013)
Proc. Int. Conf. Mach. Learn.
, pp. 1058-1066
-
-
Wan, L.1
Zeiler, M.2
Zhang, S.3
Cun, Y.L.4
Fergus, R.5
-
50
-
-
84921069139
-
-
Results
-
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, The PASCAL Visual Object Classes Challenge 2011 Results. [Online]. Available: http://www.pascal-network.org/challenges/VOC/voc2011/workshop/index.html.
-
(2011)
The PASCAL Visual Object Classes Challenge
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
52
-
-
84856686500
-
Semantic contours from inverse detectors
-
B. Hariharan, P. Arbelaez, L. Bourdev, S. Maji, and J. Malik, "Semantic contours from inverse detectors," in Proc. Int. Conf. Comput. Vis., 2011, pp. 991-998.
-
(2011)
Proc. Int. Conf. Comput. Vis.
, pp. 991-998
-
-
Hariharan, B.1
Arbelaez, P.2
Bourdev, L.3
Maji, S.4
Malik, J.5
-
53
-
-
0001857994
-
-
Neural Networks: Tricks of the Trade. Berlin, Germany: Springer
-
Y. A. LeCun, L. Bottou, G. B. Orr, and K.-R. Müller, "Efficient backprop," in Neural Networks: Tricks of the Trade. Berlin, Germany: Springer, 1998, pp. 9-48.
-
(1998)
Efficient Backprop
, pp. 9-48
-
-
LeCun, Y.A.1
Bottou, L.2
Orr, G.B.3
Müller, K.-R.4
-
55
-
-
84867713871
-
Indoor segmentation and support inference from RGBD images
-
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus, "Indoor segmentation and support inference from RGBD images," in Proc. Eur. Conf. Comput. Vis., 2012, pp. 746-760.
-
(2012)
Proc. Eur. Conf. Comput. Vis.
, pp. 746-760
-
-
Silberman, N.1
Hoiem, D.2
Kohli, P.3
Fergus, R.4
-
56
-
-
84887380335
-
Perceptual organization and recognition of indoor scenes from RGB-D images
-
S. Gupta, P. Arbelaez, and J. Malik, "Perceptual organization and recognition of indoor scenes from RGB-D images," in Proc. Comput. Vis. Pattern Recognit., 2013, pp. 564-571.
-
(2013)
Proc. Comput. Vis. Pattern Recognit.
, pp. 564-571
-
-
Gupta, S.1
Arbelaez, P.2
Malik, J.3
-
57
-
-
79953049203
-
Sift flow: Dense correspondence across scenes and its applications
-
May
-
C. Liu, J. Yuen, and A. Torralba, "Sift flow: Dense correspondence across scenes and its applications," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 5, pp. 978-994, May 2011.
-
(2011)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.33
, Issue.5
, pp. 978-994
-
-
Liu, C.1
Yuen, J.2
Torralba, A.3
-
58
-
-
78149311874
-
Superparsing: Scalable nonparametric image parsing with superpixels
-
J. Tighe and S. Lazebnik, "Superparsing: scalable nonparametric image parsing with superpixels," in Proc. Eur. Conf. Comput. Vis., 2010, pp. 352-365.
-
(2010)
Proc. Eur. Conf. Comput. Vis.
, pp. 352-365
-
-
Tighe, J.1
Lazebnik, S.2
-
59
-
-
84887363465
-
Finding things: Image parsing with regions and per-exemplar detectors
-
J. Tighe and S. Lazebnik, "Finding things: Image parsing with regions and per-exemplar detectors," in Proc. Comput. Vis. Pattern Recognit., 2013, pp. 3001-3008.
-
(2013)
Proc. Comput. Vis. Pattern Recognit.
, pp. 3001-3008
-
-
Tighe, J.1
Lazebnik, S.2
-
60
-
-
84959216100
-
Convolutional feature masking for joint object and stuff segmentation
-
J. Dai, K. He, and J. Sun, "Convolutional feature masking for joint object and stuff segmentation," in Proc. Comput. Vis. Pattern Recognit., 2015, pp. 3992-4000.
-
(2015)
Proc. Comput. Vis. Pattern Recognit.
, pp. 3992-4000
-
-
Dai, J.1
He, K.2
Sun, J.3
-
61
-
-
84867872703
-
Semantic segmentation with second-order pooling
-
J. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu, "Semantic segmentation with second-order pooling," in Proc. Eur. Conf. Comput. Vis., 2012 pp. 430-443.
-
(2012)
Proc. Eur. Conf. Comput. Vis.
, pp. 430-443
-
-
Carreira, J.1
Caseiro, R.2
Batista, J.3
Sminchisescu, C.4
-
62
-
-
84911444024
-
The role of context for object detection and semantic segmentation in the wild
-
R. Mottaghi, X. Chen, X. Liu, N.-G. Cho, S.-W. Lee, S. Fidler, R. Urtasun, and A. Yuille, "The role of context for object detection and semantic segmentation in the wild," in IEEE Conf. Comput. Vis. Pattern Recognit., 2014, pp. 891-898.
-
(2014)
IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 891-898
-
-
Mottaghi, R.1
Chen, X.2
Liu, X.3
Cho, N.-G.4
Lee, S.-W.5
Fidler, S.6
Urtasun, R.7
Yuille, A.8
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