-
1
-
-
33947591833
-
A survey of image classification methods and techniques for improving classification performance
-
Lu, D., Weng, Q., A survey of image classification methods and techniques for improving classification performance. Int. J. Remote Sens. 28:5 (2007), 823–870.
-
(2007)
Int. J. Remote Sens.
, vol.28
, Issue.5
, pp. 823-870
-
-
Lu, D.1
Weng, Q.2
-
2
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
Lowe, D.G., Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60:2 (2004), 91–110.
-
(2004)
Int. J. Comput. Vis.
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
3
-
-
0018925643
-
Two-dimensional spectral analysis of cortical receptive field profiles
-
Daugman, J.G., Two-dimensional spectral analysis of cortical receptive field profiles. Vis. Res. 20:10 (1980), 847–856.
-
(1980)
Vis. Res.
, vol.20
, Issue.10
, pp. 847-856
-
-
Daugman, J.G.1
-
4
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
Dalal, N., Triggs, B., Histograms of oriented gradients for human detection. Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1, 2005, 886–893.
-
(2005)
Proc. IEEE Conf. Computer Vision and Pattern Recognition
, vol.1
, pp. 886-893
-
-
Dalal, N.1
Triggs, B.2
-
5
-
-
84879854889
-
Representation learning: a review and new perspectives
-
Bengio, Y., Courville, A., Vincent, P., Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35:8 (2013), 1798–1828.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.8
, pp. 1798-1828
-
-
Bengio, Y.1
Courville, A.2
Vincent, P.3
-
6
-
-
85029431829
-
-
arXiv preprint arXiv:1310.1531, Decaf: a deep convolutional activation feature for generic visual recognition
-
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, T. Darrell, Decaf: a deep convolutional activation feature for generic visual recognition, arXiv preprint arXiv:1310.1531 (2013).
-
(2013)
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
7
-
-
84908537903
-
CNN features off-the-shelf: an astounding baseline for recognition
-
Razavian, A., Azizpour, H., Sullivan, J., Carlsson, S., CNN features off-the-shelf: an astounding baseline for recognition. Proc. IEEE Conf. Computer Vision and Pattern Recognition Workshops, 2014, 806–813.
-
(2014)
Proc. IEEE Conf. Computer Vision and Pattern Recognition Workshops
, pp. 806-813
-
-
Razavian, A.1
Azizpour, H.2
Sullivan, J.3
Carlsson, S.4
-
8
-
-
84870537938
-
Texture-based airport runway detection
-
Aytekin, H. Zongur, Texture-based airport runway detection. Geosci. Remote Sens. Lett. 10:3 (2013), 471–475.
-
(2013)
Geosci. Remote Sens. Lett.
, vol.10
, Issue.3
, pp. 471-475
-
-
Aytekin, H.1
-
9
-
-
84872918592
-
Geographic image retrieval using local invariant features
-
Yang, Y., Newsam, S., Geographic image retrieval using local invariant features. IEEE Trans. Geosci. Remote Sens. 51:2 (2013), 818–832.
-
(2013)
IEEE Trans. Geosci. Remote Sens.
, vol.51
, Issue.2
, pp. 818-832
-
-
Yang, Y.1
Newsam, S.2
-
10
-
-
79957664686
-
Evaluation of local features for scene classification using vhr satellite images
-
Chen, L., Yang, W., Xu, K., Xu, T., Evaluation of local features for scene classification using vhr satellite images. Proc. Urban Remote Sensing Event, 2011, 385–388.
-
(2011)
Proc. Urban Remote Sensing Event
, pp. 385-388
-
-
Chen, L.1
Yang, W.2
Xu, K.3
Xu, T.4
-
11
-
-
33947167478
-
Face description with local binary patterns: application to face recognition
-
Ahonen, T., Hadid, A., Pietikainen, M., Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28:12 (2006), 2037–2041.
-
(2006)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.28
, Issue.12
, pp. 2037-2041
-
-
Ahonen, T.1
Hadid, A.2
Pietikainen, M.3
-
12
-
-
78650965134
-
Airport detection from large ikonos images using clustered sift keypoints and region information
-
Tao, C., Tan, Y., Cai, H., Tian, J., Airport detection from large ikonos images using clustered sift keypoints and region information. Geosci. Remote Sens. Lett. 8:1 (2011), 128–132.
-
(2011)
Geosci. Remote Sens. Lett.
, vol.8
, Issue.1
, pp. 128-132
-
-
Tao, C.1
Tan, Y.2
Cai, H.3
Tian, J.4
-
13
-
-
84862819703
-
Automatic target detection in high-resolution remote sensing images using a contour-based spatial model
-
Li, Y., Sun, X., Wang, H., Sun, H., Li, X., Automatic target detection in high-resolution remote sensing images using a contour-based spatial model. Geosci. Remote Sens. Lett. 9:5 (2012), 886–890.
-
(2012)
Geosci. Remote Sens. Lett.
, vol.9
, Issue.5
, pp. 886-890
-
-
Li, Y.1
Sun, X.2
Wang, H.3
Sun, H.4
Li, X.5
-
14
-
-
84901201294
-
Joint collaborative representation with multitask learning for hyperspectral image classification
-
Li, J., Zhang, H., Zhang, L., Huang, X., Zhang, L., Joint collaborative representation with multitask learning for hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 52:9 (2014), 5923–5936.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.9
, pp. 5923-5936
-
-
Li, J.1
Zhang, H.2
Zhang, L.3
Huang, X.4
Zhang, L.5
-
16
-
-
80052087210
-
On combining multiple features for hyperspectral remote sensing image classification
-
Zhang, L., Zhang, L., Tao, D., Huang, X., On combining multiple features for hyperspectral remote sensing image classification. IEEE Trans. Geosci. Remote Sens. 50:3 (2012), 879–893.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.3
, pp. 879-893
-
-
Zhang, L.1
Zhang, L.2
Tao, D.3
Huang, X.4
-
17
-
-
79953094686
-
Urban image classification with semisupervised multiscale cluster kernels
-
Tuia, D., Camps-Valls, G., Urban image classification with semisupervised multiscale cluster kernels. Sel. Top. Appl. Earth Obs. Remote Sens. 4:1 (2011), 65–74.
-
(2011)
Sel. Top. Appl. Earth Obs. Remote Sens.
, vol.4
, Issue.1
, pp. 65-74
-
-
Tuia, D.1
Camps-Valls, G.2
-
18
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., Fei-Fei, L., Imagenet: A large-scale hierarchical image database. Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009, 248–255.
-
(2009)
Proc. IEEE Conf. Computer Vision and Pattern Recognition
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
19
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
Krizhevsky, A., Sutskever, I., Hinton, G.E., Imagenet classification with deep convolutional neural networks. Proc. Advances in neural information processing systems, 2012, 1097–1105.
-
(2012)
Proc. Advances in neural information processing systems
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
20
-
-
85083954148
-
Semantic image segmentation with deep convolutional nets and fully connected CRFs
-
Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L., Semantic image segmentation with deep convolutional nets and fully connected CRFs. Proc. International Conference on Learning Representations, 2015.
-
(2015)
Proc. International Conference on Learning Representations
-
-
Chen, L.C.1
Papandreou, G.2
Kokkinos, I.3
Murphy, K.4
Yuille, A.L.5
-
21
-
-
84861198977
-
Automatic annotation of multispectral satellite images using author–topic model
-
Luo, W., Li, H., Liu, G., Automatic annotation of multispectral satellite images using author–topic model. Geosci. Remote Sens. Lett. 9:4 (2012), 634–638.
-
(2012)
Geosci. Remote Sens. Lett.
, vol.9
, Issue.4
, pp. 634-638
-
-
Luo, W.1
Li, H.2
Liu, G.3
-
22
-
-
63149095448
-
Urban-area and building detection using sift keypoints and graph theory
-
Sirmacek, B., Ünsalan, C., Urban-area and building detection using sift keypoints and graph theory. IEEE Trans. Geosci. Remote Sens. 47:4 (2009), 1156–1167.
-
(2009)
IEEE Trans. Geosci. Remote Sens.
, vol.47
, Issue.4
, pp. 1156-1167
-
-
Sirmacek, B.1
Ünsalan, C.2
-
23
-
-
42749094811
-
On-line boosting-based car detection from aerial images
-
Grabner, H., Nguyen, T.T., Gruber, B., Bischof, H., On-line boosting-based car detection from aerial images. ISPRS J. Photogramm. Remote Sens. 63:3 (2008), 382–396.
-
(2008)
ISPRS J. Photogramm. Remote Sens.
, vol.63
, Issue.3
, pp. 382-396
-
-
Grabner, H.1
Nguyen, T.T.2
Gruber, B.3
Bischof, H.4
-
24
-
-
84907507036
-
Semi-supervised classification for hyperspectral imagery based on spatial-spectral label propagation
-
Wang, L., Hao, S., Wang, Q., Wang, Y., Semi-supervised classification for hyperspectral imagery based on spatial-spectral label propagation. ISPRS J. Photogramm. Remote Sens. 97 (2014), 123–137.
-
(2014)
ISPRS J. Photogramm. Remote Sens.
, vol.97
, pp. 123-137
-
-
Wang, L.1
Hao, S.2
Wang, Q.3
Wang, Y.4
-
25
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
Farabet, C., Couprie, C., Najman, L., LeCun, Y., Learning hierarchical features for scene labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35:8 (2013), 1915–1929.
-
(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
-
26
-
-
84930423638
-
Spectral spatial classification of hyperspectral images using deep convolutional neural networks
-
Yue, J., Zhao, W., Mao, S., Liu, H., Spectral spatial classification of hyperspectral images using deep convolutional neural networks. Remote Sens. Lett. 6:6 (2015), 468–477.
-
(2015)
Remote Sens. Lett.
, vol.6
, Issue.6
, pp. 468-477
-
-
Yue, J.1
Zhao, W.2
Mao, S.3
Liu, H.4
-
27
-
-
84937137588
-
On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery
-
Zhao, W., Guo, Z., Yue, J., Zhang, X., Luo, L., On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery. Int. J. Remote Sens. 36:13 (2015), 3368–3379.
-
(2015)
Int. J. Remote Sens.
, vol.36
, Issue.13
, pp. 3368-3379
-
-
Zhao, W.1
Guo, Z.2
Yue, J.3
Zhang, X.4
Luo, L.5
-
28
-
-
84901322878
-
Vehicle detection in satellite images by hybrid deep convolutional neural networks
-
Chen, X., Xiang, S., Liu, C.-L., Pan, C.-H., Vehicle detection in satellite images by hybrid deep convolutional neural networks. Geosci. Remote Sens. Lett. 11:10 (2014), 1797–1801.
-
(2014)
Geosci. Remote Sens. Lett.
, vol.11
, Issue.10
, pp. 1797-1801
-
-
Chen, X.1
Xiang, S.2
Liu, C.-L.3
Pan, C.-H.4
-
29
-
-
77951204124
-
Comparison of vector stacking, multi-svms fuzzy output, and multi-svm+s voting methods for multiscale vhr urban mapping
-
Huang, X., Zhang, L., Comparison of vector stacking, multi-svms fuzzy output, and multi-svm+s voting methods for multiscale vhr urban mapping. Geosci. Remote Sens. Lett. 7:2 (2010), 261–265.
-
(2010)
Geosci. Remote Sens. Lett.
, vol.7
, Issue.2
, pp. 261-265
-
-
Huang, X.1
Zhang, L.2
-
30
-
-
80053437179
-
Multimodal deep learning
-
Ngiam, J., Khosla, A., Kim, M., Nam, J., Lee, H., Ng, A.Y., Multimodal deep learning. Proc. the 28th International Conference on Machine Learning, 2011, 689–696.
-
(2011)
Proc. the 28th International Conference on Machine Learning
, pp. 689-696
-
-
Ngiam, J.1
Khosla, A.2
Kim, M.3
Nam, J.4
Lee, H.5
Ng, A.Y.6
-
32
-
-
85027917034
-
Efficient superpixel-level multitask joint sparse representation for hyperspectral image classification
-
Li, J., Zhang, H., Zhang, L., Efficient superpixel-level multitask joint sparse representation for hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 53:10 (2015), 5338–5351.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.10
, pp. 5338-5351
-
-
Li, J.1
Zhang, H.2
Zhang, L.3
-
33
-
-
84870903062
-
Automatic annotation of satellite images via multifeature joint sparse coding with spatial relation constraint
-
Zheng, X., Sun, X., Fu, K., Wang, H., Automatic annotation of satellite images via multifeature joint sparse coding with spatial relation constraint. Geosci. Remote Sens. Lett. 10:4 (2013), 652–656.
-
(2013)
Geosci. Remote Sens. Lett.
, vol.10
, Issue.4
, pp. 652-656
-
-
Zheng, X.1
Sun, X.2
Fu, K.3
Wang, H.4
-
34
-
-
85029451562
-
-
arXiv preprint arXiv:1603.07120, Deep multimodal feature analysis for action recognition in rgb+d videos
-
A. Shahroudy, T.-T. Ng, Y. Gong, G. Wang, Deep multimodal feature analysis for action recognition in rgb+d videos, arXiv preprint arXiv:1603.07120 (2016).
-
(2016)
-
-
Shahroudy, A.1
Ng, T.-T.2
Gong, Y.3
Wang, G.4
-
35
-
-
84986290338
-
Multi-view deep network for cross-view classification
-
Kan, M., Shan, S., Chen, X., Multi-view deep network for cross-view classification. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, 4847–4855.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 4847-4855
-
-
Kan, M.1
Shan, S.2
Chen, X.3
-
36
-
-
84969750897
-
On deep multi-view representation learning.
-
Wang, W., Arora, R., Livescu, K., Bilmes, J.A., On deep multi-view representation learning. ICML, 2015, 1083–1092.
-
(2015)
ICML
, pp. 1083-1092
-
-
Wang, W.1
Arora, R.2
Livescu, K.3
Bilmes, J.A.4
-
37
-
-
51949091204
-
A hierarchical and contextual model for aerial image understanding
-
IEEE
-
Porway, J., Wang, K., Yao, B., Zhu, S.C., A hierarchical and contextual model for aerial image understanding. Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, 2008, IEEE, 1–8.
-
(2008)
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
, pp. 1-8
-
-
Porway, J.1
Wang, K.2
Yao, B.3
Zhu, S.C.4
-
38
-
-
85029415517
-
-
I. Markus Gerke, Use of the stair vision library within the isprs 2d semantic labeling benchmark (vaihingen).
-
I. Markus Gerke, Use of the stair vision library within the isprs 2d semantic labeling benchmark (vaihingen).
-
-
-
-
39
-
-
84890425279
-
Unsupervised feature learning for aerial scene classification
-
Cheriyadat, A.M., Unsupervised feature learning for aerial scene classification. IEEE Trans. Geosci. Remote Sens. 52:1 (2014), 439–451.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.1
, pp. 439-451
-
-
Cheriyadat, A.M.1
-
40
-
-
79955472171
-
Vehicle detection using partial least squares
-
Kembhavi, A., Harwood, D., Davis, L.S., Vehicle detection using partial least squares. IEEE Trans. Pattern Anal. Mach. Intell. 33:6 (2011), 1250–1265.
-
(2011)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.33
, Issue.6
, pp. 1250-1265
-
-
Kembhavi, A.1
Harwood, D.2
Davis, L.S.3
-
41
-
-
84905925092
-
Deep learning-based classification of hyperspectral data
-
Chen, Y., Lin, Z., Zhao, X., Wang, G., Gu, Y., Deep learning-based classification of hyperspectral data. Sel. Top. Appl. Earth Obs. Remote Sens. 7:6 (2014), 2094–2107.
-
(2014)
Sel. Top. Appl. Earth Obs. Remote Sens.
, vol.7
, Issue.6
, pp. 2094-2107
-
-
Chen, Y.1
Lin, Z.2
Zhao, X.3
Wang, G.4
Gu, Y.5
-
42
-
-
85029455886
-
-
arXiv preprint arXiv:1508.00092, Land use classification in remote sensing images by convolutional neural networks
-
M. Castelluccio, G. Poggi, C. Sansone, L. Verdoliva, Land use classification in remote sensing images by convolutional neural networks, arXiv preprint arXiv:1508.00092 (2015).
-
(2015)
-
-
Castelluccio, M.1
Poggi, G.2
Sansone, C.3
Verdoliva, L.4
-
43
-
-
84949921276
-
Deep learning earth observation classification using imagenet pretrained networks
-
Marmanis, D., Datcu, M., Esch, T., Stilla, U., Deep learning earth observation classification using imagenet pretrained networks. IEEE Geosci. Remote Sens. Lett. 13:1 (2016), 105–109.
-
(2016)
IEEE Geosci. Remote Sens. Lett.
, vol.13
, Issue.1
, pp. 105-109
-
-
Marmanis, D.1
Datcu, M.2
Esch, T.3
Stilla, U.4
-
44
-
-
84940417787
-
Effective semantic pixel labelling with convolutional networks and conditional random fields
-
Paisitkriangkrai, S., Sherrah, J., Janney, P., Hengel, V.-D., et al. Effective semantic pixel labelling with convolutional networks and conditional random fields. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015, 36–43.
-
(2015)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops
, pp. 36-43
-
-
Paisitkriangkrai, S.1
Sherrah, J.2
Janney, P.3
Hengel, V.-D.4
-
45
-
-
85029454762
-
-
arXiv preprint arXiv:1606.02585, Fully convolutional networks for dense semantic labelling of high-resolution aerial imagery
-
J. Sherrah, Fully convolutional networks for dense semantic labelling of high-resolution aerial imagery, arXiv preprint arXiv:1606.02585 (2016).
-
(2016)
-
-
Sherrah, J.1
-
46
-
-
84866657764
-
Slic superpixels compared to state-of-the-art superpixel methods
-
Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Susstrunk, S., Slic superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34:11 (2012), 2274–2282.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.11
, pp. 2274-2282
-
-
Achanta, R.1
Shaji, A.2
Smith, K.3
Lucchi, A.4
Fua, P.5
Susstrunk, S.6
-
48
-
-
0029669420
-
A comparative study of texture measures with classification based on featured distributions
-
Ojala, T., Pietikainen, M., Harwood, D., A comparative study of texture measures with classification based on featured distributions. Pattern Recognit. 29:1 (1996), 51–59.
-
(1996)
Pattern Recognit.
, vol.29
, Issue.1
, pp. 51-59
-
-
Ojala, T.1
Pietikainen, M.2
Harwood, D.3
-
49
-
-
85020603202
-
An HOG-LBP human detector with partial occlusion handling
-
Wang, X., Han, T.X., Yan, S., An HOG-LBP human detector with partial occlusion handling. Proc. 12th International Conference on Computer Vision, 2009, 32–39.
-
(2009)
Proc. 12th International Conference on Computer Vision
, pp. 32-39
-
-
Wang, X.1
Han, T.X.2
Yan, S.3
-
50
-
-
84887397359
-
Principal component analysis
-
Jolliffe, I.T., Principal component analysis. 2005.
-
(2005)
-
-
Jolliffe, I.T.1
-
51
-
-
34547967782
-
An empirical evaluation of deep architectures on problems with many factors of variation
-
Larochelle, H., Erhan, D., Courville, A., Bergstra, J., Bengio, Y., An empirical evaluation of deep architectures on problems with many factors of variation. Proc. 24th International Conference on Machine Learning, 2007, 473–480.
-
(2007)
Proc. 24th International Conference on Machine Learning
, pp. 473-480
-
-
Larochelle, H.1
Erhan, D.2
Courville, A.3
Bergstra, J.4
Bengio, Y.5
-
52
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
Lee, H., Grosse, R., Ranganath, R., Ng, A.Y., Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. Proc. 26th International Conference on Machine Learning, 2009, 609–616.
-
(2009)
Proc. 26th International Conference on Machine Learning
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
53
-
-
84872506495
-
A practical guide to training restricted boltzmann machines
-
Hinton, G., A practical guide to training restricted boltzmann machines. Neural Networks: Tricks of the Trade, 2012, 599–619.
-
(2012)
Neural Networks: Tricks of the Trade
, pp. 599-619
-
-
Hinton, G.1
-
54
-
-
69349090197
-
Learning deep architectures for AI
-
Bengio, Y., Learning deep architectures for AI. Found. Trends Mach. Learn. 2:1 (2009), 1–127.
-
(2009)
Found. Trends Mach. Learn.
, vol.2
, Issue.1
, pp. 1-127
-
-
Bengio, Y.1
-
55
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
Hinton, G.E., Osindero, S., Teh, Y.-W., A fast learning algorithm for deep belief nets. Neural Comput. 18:7 (2006), 1527–1554.
-
(2006)
Neural Comput.
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
56
-
-
84939247735
-
Spatial pyramid pooling in deep convolutional networks for visual recognition
-
He, K., Zhang, X., Ren, S., Sun, J., Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37:9 (2015), 1904–1916.
-
(2015)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.37
, Issue.9
, pp. 1904-1916
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
57
-
-
0001884644
-
Individual comparisons by ranking methods
-
Wilcoxon, F., Individual comparisons by ranking methods. Biom. Bull. 1:6 (1945), 80–83.
-
(1945)
Biom. Bull.
, vol.1
, Issue.6
, pp. 80-83
-
-
Wilcoxon, F.1
-
58
-
-
85029427060
-
-
( http://www2.isprs.org/commissions/comm3/wg4/semantic-labeling.html).
-
-
-
-
59
-
-
85029453257
-
-
( http://ftp.ipi.uni-hannover.de/ISPRS_WGIII_website/ISPRSIII_4_Test_results/papers/Description_UCalgary.pdf).
-
-
-
-
60
-
-
84959245343
-
Scene labeling with lstm recurrent neural networks
-
Byeon, W., Breuel, T.M., Raue, F., Liwicki, M., Scene labeling with lstm recurrent neural networks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, 3547–3555.
-
(2015)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 3547-3555
-
-
Byeon, W.1
Breuel, T.M.2
Raue, F.3
Liwicki, M.4
-
61
-
-
84990063292
-
Semantic object parsing with graph lstm
-
Springer
-
Liang, X., Shen, X., Feng, J., Lin, L., Yan, S., Semantic object parsing with graph lstm. European Conference on Computer Vision, 2016, Springer, 125–143.
-
(2016)
European Conference on Computer Vision
, pp. 125-143
-
-
Liang, X.1
Shen, X.2
Feng, J.3
Lin, L.4
Yan, S.5
|