publication . Preprint . 2018

Object cosegmentation using deep Siamese network

Mukherjee, Prerana; Lall, Brejesh; Lattupally, Snehith;
Open Access English
  • Published: 07 Mar 2018
Abstract
Comment: Appears in International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2018
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Computer Science - Computer Vision and Pattern Recognition
Download from
32 references, page 1 of 3

S. Vicente, C. Rother, and V. Kolmogorov, “Object cosegmentation,” in Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011, pp. 2217-2224.

W. Wang, J. Shen, X. Li, and F. Porikli, “Robust video object cosegmentation,” Image Processing, IEEE Transactions on, vol. 24, no. 10, pp. 3137-3148, 2015.

Y. Li, J. Liu, Z. Li, H. Lu, and S. Ma, “Object co-segmentation via salient and common regions discovery,” Neurocomputing, vol. 172, pp.

L. Huang, R. Gan, and G. Zeng, “Object cosegmentation by similarity propagation with saliency information and objectness frequency map,” 2016 3rd International Conference on Systems and Informatics (ICSAI), pp. 906-911, 2016.

C. Rother, T. Minka, A. Blake, and V. Kolmogorov, “Cosegmentation of image pairs by histogram matching-incorporating a global constraint into mrfs,” in Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, vol. 1. IEEE, 2006, pp. 993-1000. [OpenAIRE]

F. Wang, Q. Huang, and L. Guibas, “Image co-segmentation via consistent functional maps,” in Proceedings of the IEEE International Conference on Computer Vision, 2013, pp. 849-856.

A. Joulin, F. Bach, and J. Ponce, “Multi-class cosegmentation,” in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012, pp. 542-549. [OpenAIRE]

D. Batra, A. Kowdle, D. Parikh, J. Luo, and T. Chen, “icoseg: Interactive co-segmentation with intelligent scribble guidance,” in Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on. IEEE, 2010, pp. 3169-3176. [OpenAIRE]

A. Kowdle, D. Batra, W.-C. Chen, and T. Chen, “imodel: Interactive cosegmentation for object of interest 3d modeling,” in Trends and Topics in Computer Vision. Springer, 2010, pp. 211-224.

L. Mukherjee, V. Singh, and C. R. Dyer, “Half-integrality based algorithms for cosegmentation of images,” in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. IEEE, 2009, pp. 2028-2035.

[12] [14] [17] [18] [19] [20] [21] [22] [24] [25] [26] [27] [29] [30] [31] [32] [11] J. Long, E. Shelhamer, and T. Darrell, “Fully convolutional networks for semantic segmentation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 3431-3440.

Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architecture for fast feature embedding,” arXiv preprint arXiv:1408.5093, 2014.

[13] J. Shotton, J. Winn, C. Rother, and A. Criminisi, “Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation,” in European conference on computer vision. Springer, 2006, pp. 1-15. [OpenAIRE]

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein et al., “Imagenet large scale visual recognition challenge,” International Journal of Computer Vision, vol. 115, no. 3, pp. 211-252, 2015. [OpenAIRE]

[15] J. Pont-Tuset, P. Arbelaez, J. T. Barron, F. Marques, and J. Malik, “Multiscale combinatorial grouping for image segmentation and object proposal generation,” IEEE transactions on pattern analysis and machine intelligence, vol. 39, no. 1, pp. 128-140, 2017.

32 references, page 1 of 3
Abstract
Comment: Appears in International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2018
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Computer Science - Computer Vision and Pattern Recognition
Download from
32 references, page 1 of 3

S. Vicente, C. Rother, and V. Kolmogorov, “Object cosegmentation,” in Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011, pp. 2217-2224.

W. Wang, J. Shen, X. Li, and F. Porikli, “Robust video object cosegmentation,” Image Processing, IEEE Transactions on, vol. 24, no. 10, pp. 3137-3148, 2015.

Y. Li, J. Liu, Z. Li, H. Lu, and S. Ma, “Object co-segmentation via salient and common regions discovery,” Neurocomputing, vol. 172, pp.

L. Huang, R. Gan, and G. Zeng, “Object cosegmentation by similarity propagation with saliency information and objectness frequency map,” 2016 3rd International Conference on Systems and Informatics (ICSAI), pp. 906-911, 2016.

C. Rother, T. Minka, A. Blake, and V. Kolmogorov, “Cosegmentation of image pairs by histogram matching-incorporating a global constraint into mrfs,” in Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, vol. 1. IEEE, 2006, pp. 993-1000. [OpenAIRE]

F. Wang, Q. Huang, and L. Guibas, “Image co-segmentation via consistent functional maps,” in Proceedings of the IEEE International Conference on Computer Vision, 2013, pp. 849-856.

A. Joulin, F. Bach, and J. Ponce, “Multi-class cosegmentation,” in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012, pp. 542-549. [OpenAIRE]

D. Batra, A. Kowdle, D. Parikh, J. Luo, and T. Chen, “icoseg: Interactive co-segmentation with intelligent scribble guidance,” in Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on. IEEE, 2010, pp. 3169-3176. [OpenAIRE]

A. Kowdle, D. Batra, W.-C. Chen, and T. Chen, “imodel: Interactive cosegmentation for object of interest 3d modeling,” in Trends and Topics in Computer Vision. Springer, 2010, pp. 211-224.

L. Mukherjee, V. Singh, and C. R. Dyer, “Half-integrality based algorithms for cosegmentation of images,” in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. IEEE, 2009, pp. 2028-2035.

[12] [14] [17] [18] [19] [20] [21] [22] [24] [25] [26] [27] [29] [30] [31] [32] [11] J. Long, E. Shelhamer, and T. Darrell, “Fully convolutional networks for semantic segmentation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 3431-3440.

Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architecture for fast feature embedding,” arXiv preprint arXiv:1408.5093, 2014.

[13] J. Shotton, J. Winn, C. Rother, and A. Criminisi, “Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation,” in European conference on computer vision. Springer, 2006, pp. 1-15. [OpenAIRE]

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein et al., “Imagenet large scale visual recognition challenge,” International Journal of Computer Vision, vol. 115, no. 3, pp. 211-252, 2015. [OpenAIRE]

[15] J. Pont-Tuset, P. Arbelaez, J. T. Barron, F. Marques, and J. Malik, “Multiscale combinatorial grouping for image segmentation and object proposal generation,” IEEE transactions on pattern analysis and machine intelligence, vol. 39, no. 1, pp. 128-140, 2017.

32 references, page 1 of 3
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