-
1
-
-
84986321469
-
HD maps: Fine-grained road segmentation by parsing ground and aerial images
-
Jun.
-
G. Mattyus, S. Wang, S. Fidler, R. Urtasun, "HD maps: Fine-grained road segmentation by parsing ground and aerial images, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2016, pp. 3611-3619.
-
(2016)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 3611-3619
-
-
Mattyus, G.1
Wang, S.2
Fidler, S.3
Urtasun, R.4
-
2
-
-
84977998287
-
Salient band selection for hyperspectral image classification via manifold ranking
-
Jun.
-
Q. Wang, J. Lin, Y. Yuan, "Salient band selection for hyperspectral image classification via manifold ranking, " IEEE Trans. Neural Netw. Learn. Syst., vol. 27, no. 6, pp. 1279-1289, Jun. 2016.
-
(2016)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.27
, Issue.6
, pp. 1279-1289
-
-
Wang, Q.1
Lin, J.2
Yuan, Y.3
-
3
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
M. D. Zeiler and R. Fergus, "Visualizing and understanding convolutional networks, " in Proc. ECCV, 2014, pp. 818-833.
-
(2014)
Proc. ECCV
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
4
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Nov.
-
Y. LeCun, L. Bottou, Y. Bengio, P. Haffner, "Gradient-based learning applied to document recognition, " Proc. IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998.
-
(1998)
Proc. IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
5
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, G. E. Hinton, "ImageNet classification with deep convolutional neural networks, " in Proc. NIPS, 2012, pp. 1097-1105.
-
(2012)
Proc. NIPS
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
6
-
-
84959205572
-
Fully convolutional networks for semantic segmentation
-
Jun.
-
J. Long, E. Shelhamer, T. Darrell, "Fully convolutional networks for semantic segmentation, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2015, pp. 3431-3440.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 3431-3440
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
7
-
-
84990051868
-
-
unpublished paper [Online]. Available
-
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, A. L. Yuille, "DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, fully connected CRFs, " unpublished paper, 2014. [Online]. Available: Https://arxiv.org/abs/1606.00915
-
(2014)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, Fully Connected CRFs
-
-
Chen, L.-C.1
Papandreou, G.2
Kokkinos, I.3
Murphy, K.4
Yuille, A.L.5
-
8
-
-
84994217941
-
Dense semantic labeling of subdecimeter resolution images with convolutional neural networks
-
Feb.
-
M. Volpi and D. Tuia, "Dense semantic labeling of subdecimeter resolution images with convolutional neural networks, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 2, pp. 881-893, Feb. 2017.
-
(2017)
IEEE Trans. Geosci. Remote Sens.
, vol.55
, Issue.2
, pp. 881-893
-
-
Volpi, M.1
Tuia, D.2
-
10
-
-
85045063978
-
Computational mammography using deep neural networks
-
London, U.K.: Taylor & Francis
-
A. Dubrovina, P. Kisilev, B. Ginsburg, S. Hashoul, R. Kimmel, "Computational mammography using deep neural networks, " in Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. London, U.K.: Taylor & Francis, 2016, pp. 1-5.
-
(2016)
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
, pp. 1-5
-
-
Dubrovina, A.1
Kisilev, P.2
Ginsburg, B.3
Hashoul, S.4
Kimmel, R.5
-
11
-
-
84973879016
-
Learning deconvolution network for semantic segmentation
-
Dec.
-
H. Noh, S. Hong, B. Han, "Learning deconvolution network for semantic segmentation, " in Proc. IEEE Int. Conf. Comput. Vis. (ICCV), Dec. 2015, pp. 1520-1528.
-
(2015)
Proc. IEEE Int. Conf. Comput. Vis. (ICCV)
, pp. 1520-1528
-
-
Noh, H.1
Hong, S.2
Han, B.3
-
13
-
-
85011094284
-
-
unpublished paper [Online]. Available
-
A. Paszke, A. Chaurasia, S. Kim, E. Culurciello, "ENet: A deep neural network architecture for real-time semantic segmentation, " unpublished paper, 2016. [Online]. Available: Https://arxiv.org/abs/1606.02147
-
(2016)
ENet: A Deep Neural Network Architecture for Real-time Semantic Segmentation
-
-
Paszke, A.1
Chaurasia, A.2
Kim, S.3
Culurciello, E.4
-
14
-
-
85019850780
-
Semantic segmentation of aerial images with an ensemble of CNSS
-
D. Marmanis, J. Wegner, S. Galliani, K. Schindler, M. Datcu, U. Stilla, "Semantic segmentation of aerial images with an ensemble of CNSS, " in Proc. ISPRS Ann. Photogramm., Remote Sens. Spatial Inf. Sci., 2016, pp. 473-480.
-
(2016)
Proc. ISPRS Ann. Photogramm., Remote Sens. Spatial Inf. Sci.
, pp. 473-480
-
-
Marmanis, D.1
Wegner, J.2
Galliani, S.3
Schindler, K.4
Datcu, M.5
Stilla, U.6
-
15
-
-
84940417787
-
Effective semantic pixel labelling with convolutional networks and conditional random fields
-
Jun.
-
S. Paisitkriangkrai, J. Sherrah, P. Janney, A. Van-Den Hengel, "Effective semantic pixel labelling with convolutional networks and conditional random fields, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) Workshops, Jun. 2015, pp. 36-43.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) Workshops
, pp. 36-43
-
-
Paisitkriangkrai, S.1
Sherrah, J.2
Janney, P.3
Van-Den Hengel, A.4
-
16
-
-
85038562432
-
-
ISPRS. [Online]. Available
-
ISPRS. [Online]. Available: Http://www2.isprs.org/commissions/comm3/wg4/semantic-labeling.html
-
-
-
-
17
-
-
84992121956
-
Convolutional neural networks for large-scale remote-sensing image classification
-
Feb.
-
E. Maggiori, Y. Tarabalka, G. Charpiat, P. Alliez, "Convolutional neural networks for large-scale remote-sensing image classification, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 2, pp. 645-657, Feb. 2017.
-
(2017)
IEEE Trans. Geosci. Remote Sens.
, vol.55
, Issue.2
, pp. 645-657
-
-
Maggiori, E.1
Tarabalka, Y.2
Charpiat, G.3
Alliez, P.4
-
19
-
-
77956502203
-
A theoretical analysis of feature pooling in visual recognition
-
Y.-L. Boureau, J. Ponce, Y. LeCun, "A theoretical analysis of feature pooling in visual recognition, " in Proc. ICML, 2010, pp. 111-118.
-
(2010)
Proc. ICML
, pp. 111-118
-
-
Boureau, Y.-L.1
Ponce, J.2
Le Cun, Y.3
-
20
-
-
85010208970
-
Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks
-
Jun.
-
M. Kampffmeyer, A.-B. Salberg, R. Jenssen, "Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) Workshops, Jun. 2016, pp. 1-9.
-
(2016)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) Workshops
, pp. 1-9
-
-
Kampffmeyer, M.1
Salberg, A.-B.2
Jenssen, R.3
-
22
-
-
84971548504
-
-
unpublished paper [Online]. Available
-
J. Yang, B. Price, S. Cohen, H. Lee, M.-H. Yang, "Object contour detection with a fully convolutional encoder-decoder network, " unpublished paper, 2016. [Online]. Available: Https://arxiv.org/abs/1603.04530
-
(2016)
Object Contour Detection with a Fully Convolutional Encoder-decoder Network
-
-
Yang, J.1
Price, B.2
Cohen, S.3
Lee, H.4
Yang, M.-H.5
-
24
-
-
84962006941
-
-
unpublished paper [Online]. Available
-
J. T. Springenberg, A. Dosovitskiy, T. Brox, M. Riedmiller, "Striving for simplicity: The all convolutional net, " unpublished paper, 2014. [Online]. Available: Https://arxiv.org/abs/1412.6806
-
(2014)
Striving for Simplicity: The All Convolutional Net
-
-
Springenberg, J.T.1
Dosovitskiy, A.2
Brox, T.3
Riedmiller, M.4
-
25
-
-
84979964959
-
Learning to simplify: Fully convolutional networks for rough sketch cleanup
-
Jul.
-
E. Simo-Serra, S. Iizuka, K. Sasaki, H. Ishikawa, "Learning to simplify: Fully convolutional networks for rough sketch cleanup, " ACM Trans. Graph., vol. 35, no. 4, Jul. 2016, Art. no. 121.
-
(2016)
ACM Trans. Graph.
, vol.35
, Issue.4
-
-
Simo-Serra, E.1
Iizuka, S.2
Sasaki, K.3
Ishikawa, H.4
-
26
-
-
77955422240
-
Object detection with discriminatively trained part-based models
-
Sep.
-
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, D. Ramanan, "Object detection with discriminatively trained part-based models, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 9, pp. 1627-1645, Sep. 2010.
-
(2010)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.32
, Issue.9
, pp. 1627-1645
-
-
Felzenszwalb, P.F.1
Girshick, R.B.2
McAllester, D.3
Ramanan, D.4
-
27
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
Aug.
-
C. Farabet, C. Couprie, L. Najman, Y. LeCun, "Learning hierarchical features for scene labeling, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 8, pp. 1915-1929, Aug. 2013.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.8
, pp. 1915-1929
-
-
Farabet, C.1
Couprie, C.2
Najman, L.3
LeCun, Y.4
-
28
-
-
84952050179
-
-
Univ. Twente, Enschede, The Netherlands, Tech. Rep
-
M. Gerke, "Use of the Stair Vision Library within the ISPRS 2D semantic labeling benchmark (Vaihingen), " Univ. Twente, Enschede, The Netherlands, Tech. Rep., 2015.
-
(2015)
Use of the Stair Vision Library Within the ISPRS 2D Semantic Labeling Benchmark (Vaihingen)
-
-
Gerke, M.1
-
31
-
-
84973911419
-
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
-
Dec.
-
K. He, X. Zhang, S. Ren, J. Sun, "Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, " in Proc. IEEE Int. Conf. Comput. Vis. (ICCV), Dec. 2015, pp. 1026-1034.
-
(2015)
Proc. IEEE Int. Conf. Comput. Vis. (ICCV)
, pp. 1026-1034
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
32
-
-
84872577736
-
Practical recommendations for gradient-based training of deep architectures
-
Berlin, Germany: Springer
-
Y. Bengio, "Practical recommendations for gradient-based training of deep architectures, " in Neural Networks: Tricks of the Trade. Berlin, Germany: Springer, 2012, pp. 437-478.
-
(2012)
Neural Networks: Tricks of the Trade
, pp. 437-478
-
-
Bengio, Y.1
|