-
1
-
-
84911417279
-
Multiscale Combinatorial Grouping
-
P. Arbelaez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik. Multiscale Combinatorial Grouping. In CVPR, 2014. 2
-
(2014)
CVPR
, pp. 2
-
-
Arbelaez, P.1
Pont-Tuset, J.2
Barron, J.3
Marques, F.4
Malik, J.5
-
2
-
-
85044534252
-
Bottom-up instance segmentation using deep higher-order crfs
-
2
-
A. Arnab and P. Torr. Bottom-up instance segmentation using deep higher-order crfs. In BMVC, 2016. 1, 2
-
(2016)
BMVC
, pp. 1
-
-
Arnab, A.1
Torr, P.2
-
3
-
-
0001722484
-
The watershed transformation applied to image segmentation
-
1, 2
-
S. Beucher. The watershed transformation applied to image segmentation. Scanning Microscopy International, Suppl:6(1):299-314, 1991. 1, 2
-
(1991)
Scanning Microscopy International Suppl
, vol.6
, Issue.1
, pp. 299-314
-
-
Beucher, S.1
-
5
-
-
84986290525
-
Bottom-up instance segmentation using deep higher-order crfs
-
Y. Chen, X. Liu, and M. Yang. Bottom-up instance segmentation using deep higher-order crfs. In CVPR, 2015. 2
-
(2015)
CVPR
, pp. 2
-
-
Chen, Y.1
Liu, X.2
Yang, M.3
-
6
-
-
84986255616
-
The Cityscapes Dataset for Semantic Urban Scene Understanding
-
5, 6
-
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele. The Cityscapes Dataset for Semantic Urban Scene Understanding. In CVPR, 2016. 1, 5, 6
-
(2016)
CVPR
, pp. 1
-
-
Cordts, M.1
Omran, M.2
Ramos, S.3
Rehfeld, T.4
Enzweiler, M.5
Benenson, R.6
Franke, U.7
Roth, S.8
Schiele, B.9
-
7
-
-
84986282070
-
Instance-aware semantic segmentation via multi-task network cascades
-
2
-
J. Dai, K. He, and J. Sun. Instance-aware semantic segmentation via multi-task network cascades. In CVPR, 2016. 1, 2
-
(2016)
CVPR
, pp. 1
-
-
Dai, J.1
He, K.2
Sun, J.3
-
8
-
-
84921069139
-
-
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results. http://www.pascalnetwork. org/challenges/VOC/voc2012/workshop/index.html. 6
-
The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
, pp. 6
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
9
-
-
85028048141
-
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
-
6, 7
-
C. F. G. Ghiasi. Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation. In ECCV, 2016. 4, 6, 7
-
(2016)
ECCV
, pp. 4
-
-
Ghiasi, C.F.G.1
-
10
-
-
79951563340
-
Understanding the difficulty of training deep feedforward neural networks
-
X. Glorot and Y. Bengio. Understanding the difficulty of training deep feedforward neural networks. In AISTATS, 2010. 5
-
(2010)
AISTATS
, pp. 5
-
-
Glorot, X.1
Bengio, Y.2
-
11
-
-
1942486776
-
Improved watershed transform for medical image segmentation using prior information
-
1
-
V. Grau, A. Mewes, M. Alcaiz, R. Kikinis, and S. Warfield. Improved watershed transform for medical image segmentation using prior information. IEEE Transactions on Medical Imaging, 23(4):447-458, 2004. 1
-
(2004)
IEEE Transactions on Medical Imaging
, vol.23
, Issue.4
, pp. 447-458
-
-
Grau, V.1
Mewes, A.2
Alcaiz, M.3
Kikinis, R.4
Warfield, S.5
-
13
-
-
85044374484
-
Iterative instance segmentation
-
K. Li, B. Hariharan, and J. Malik. Iterative instance segmentation. In CVPR, 2016. 2
-
(2016)
CVPR
, pp. 2
-
-
Li, K.1
Hariharan, B.2
Malik, J.3
-
14
-
-
84986268711
-
Reversible recursive instance-level object segmentation
-
X. Liang, Y.Wei, X. Shen, Z. Jie, J. Feng, L. Lin, and S. Yan. Reversible recursive instance-level object segmentation. In CVPR, 2016. 2
-
(2016)
CVPR
, pp. 2
-
-
Liang, X.1
Wei, Y.2
Shen, X.3
Jie, Z.4
Feng, J.5
Lin, L.6
Yan, S.7
-
15
-
-
85044366859
-
-
arXiv preprint arXiv: 1509.02636
-
X. Liang, Y. Wei, X. Shen, J. Yang, L. Lin, and S. Yan. Endto- end instance segmentation and counting with recurrent attention. arXiv preprint arXiv:1509.02636, 2015. 2
-
(2015)
Endto- End Instance Segmentation and Counting with Recurrent Attention
, pp. 2
-
-
Liang, X.1
Wei, Y.2
Shen, X.3
Yang, J.4
Lin, L.5
Yan, S.6
-
16
-
-
84959205572
-
Fully Convolutional Networks for Semantic Segmentation
-
J. Long, E. Shelhamer, and T. Darrell. Fully Convolutional Networks for Semantic Segmentation. In CVPR, 2015. 4
-
(2015)
CVPR
, pp. 4
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
17
-
-
0034850577
-
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
-
D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In ICCV, 2001. 6
-
(2001)
ICCV
, pp. 6
-
-
Martin, D.1
Fowlkes, C.2
Tal, D.3
Malik, J.4
-
19
-
-
84990065993
-
Finely-grained annotated datasets for image-based plant phenotyping
-
6
-
M. Minervini, A. Fischbach, H.Scharr, and S. Tsaftaris. Finely-grained annotated datasets for image-based plant phenotyping. Pattern Recognition Letters, pages 1-10, 2015. 6
-
(2015)
Pattern Recognition Letters
, pp. 1-10
-
-
Minervini, M.1
Fischbach, A.2
Scharr, H.3
Tsaftaris, S.4
-
20
-
-
85044363013
-
Learning to segment object candidates
-
2
-
P. O. Pinheiro, R. Collobert, and P. Dollr. Learning to segment object candidates. In NIPS, 2015. 1, 2
-
(2015)
NIPS
, pp. 1
-
-
Pinheiro, P.O.1
Collobert, R.2
Dollr, P.3
-
21
-
-
85044347096
-
Segmentation of 3d head mr images using morphological reconstruction under constraints and automatic selection of markers
-
1
-
P. O. Pinheiro, T.-Y. Lin, R. Collobert, and P. Dollr. Segmentation of 3d head mr images using morphological reconstruction under constraints and automatic selection of markers. In ICIP, pages 1075-1078, 2001. 1
-
(2001)
ICIP
, pp. 1075-1078
-
-
Pinheiro, P.O.1
Lin, T.-Y.2
Collobert, R.3
Dollr, P.4
-
22
-
-
85020218603
-
Learning to refine object segments
-
2
-
P. O. Pinheiro, T.-Y. Lin, R. Collobert, and P. Dollr. Learning to refine object segments. In ECCV, 2016. 1, 2
-
(2016)
ECCV
, pp. 1
-
-
Pinheiro, P.O.1
Lin, T.-Y.2
Collobert, R.3
Dollr, P.4
-
24
-
-
85030264885
-
Recurrent Instance Segmentation
-
2
-
B. Romera-Paredes and P. H. S. Torr. Recurrent Instance Segmentation. In ECCV, 2016. 1, 2
-
(2016)
ECCV
, pp. 1
-
-
Romera-Paredes, B.1
Torr, P.H.S.2
-
25
-
-
84965121965
-
Convolutional LSTM network: A machine learning approach for precipitation nowcasting
-
X. Shi, Z. Chen, H.Wang, D. Yeung, W.Wong, andW.Woo. Convolutional LSTM network: A machine learning approach for precipitation nowcasting. In NIPS, 2015. 2
-
(2015)
NIPS
, pp. 2
-
-
Shi, X.1
Chen, Z.2
Wang, H.3
Yeung, D.4
Wong, W.5
Woo, W.6
-
26
-
-
84959205514
-
Instance segmentation of indoor scenes using a coverage loss
-
7
-
N. Silberman, D. Sontag, and R. Fergus. Instance segmentation of indoor scenes using a coverage loss. In ECCV, 2014. 6, 7
-
(2014)
ECCV
, pp. 6
-
-
Silberman, N.1
Sontag, D.2
Fergus, R.3
-
27
-
-
85083953063
-
Very Deep Convolutional Networks for Large-Scale Image Recognition
-
5
-
K. Simonyan and A. Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition. In ICLR, 2015. 4, 5
-
(2015)
ICLR
, pp. 4
-
-
Simonyan, K.1
Zisserman, A.2
-
28
-
-
85020190110
-
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
-
2, 6, 7
-
J. Uhrig, M. Cordts, U. Franke, and T. Brox. Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling. In GCPR, 2016. 1, 2, 6, 7
-
(2016)
GCPR
, pp. 1
-
-
Uhrig, J.1
Cordts, M.2
Franke, U.3
Brox, T.4
-
29
-
-
85044344056
-
Instance-level Segmentation of Vehicles by Deep Contours
-
J. van den Brand, M. Ochs, and R. Mester. Instance-level Segmentation of Vehicles by Deep Contours. In ACCVWorkshop, 2016. 6
-
(2016)
ACCVWorkshop
, pp. 6
-
-
Van den Brand, J.1
Ochs, M.2
Mester, R.3
-
30
-
-
85083952059
-
Multi-Scale Context Aggregation by Dilated Convolutions
-
F. Yu and V. Koltun. Multi-Scale Context Aggregation by Dilated Convolutions. In ICLR, 2016. 4
-
(2016)
ICLR
, pp. 4
-
-
Yu, F.1
Koltun, V.2
-
31
-
-
84990062696
-
A multipath network for object detection
-
S. Zagoruyko, A. Lerer, T.-Y. Lin, P. O. Pinheiro, S. Gross, S. Chintala, and P. Dollár. A multipath network for object detection. In BMVC, 2016. 2
-
(2016)
BMVC
, pp. 2
-
-
Zagoruyko, S.1
Lerer, A.2
Lin, T.-Y.3
Pinheiro, P.O.4
Gross, S.5
Chintala, S.6
Dollár, P.7
-
32
-
-
85060481824
-
Instance-Level Segmentation with Deep Densely Connected MRFs
-
2
-
Z. Zhang, S. Fidler, and R. Urtasun. Instance-Level Segmentation with Deep Densely Connected MRFs. In CVPR, 2016. 1, 2
-
(2016)
CVPR
, pp. 1
-
-
Zhang, Z.1
Fidler, S.2
Urtasun, R.3
-
33
-
-
84973891613
-
Monocular object instance segmentation and depth ordering with cnns
-
2
-
Z. Zhang, A. Schwing, S. Fidler, and R. Urtasun. Monocular object instance segmentation and depth ordering with cnns. In ICCV, 2015. 1, 2
-
(2015)
ICCV
, pp. 1
-
-
Zhang, Z.1
Schwing, A.2
Fidler, S.3
Urtasun, R.4
-
34
-
-
85020384809
-
-
arXiv preprint arXiv: 1612.01105, 3, 4, 6, 7, 8
-
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia. Pyramid Scene Parsing Network. arXiv preprint arXiv:1612.01105, 2016. 2, 3, 4, 6, 7, 8
-
(2016)
Pyramid Scene Parsing Network
, pp. 2
-
-
Zhao, H.1
Shi, J.2
Qi, X.3
Wang, X.4
Jia, J.5
|