Fetching the paper…
Reading the bibliography…
Training a Convolutional Neural Network (CNN) for semantic segmentation typically requires to collect a large amount of accurate pixel-level annotations, a hard and expensive task.
M. J. Huiskes and M. S. Lew, “The MIR flickr retrieval evaluation,” in Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval , 2008
2008
Earlier work this paper cites.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “ImageNet: A Large-Scale Hierarchical Image Database,” in CVPR , 2009
2009
Earlier work this paper cites.
P. Krähenbühl and V. Koltun, “Efficient inference in fully connected crfs with gaussian edge potentials,” in NIPS , 2011
2011
Earlier work this paper cites.
B. Hariharan, P. Arbelaez, L. D. Bourdev, S. Maji, and J. Malik, “Semantic contours from inverse detectors.” in ICCV , 2011
2011
Earlier work this paper cites.
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.pascal-network.org/challenges/VOC/voc2012/workshop/index.html
2012
Earlier work this paper cites.
B. Alexe, T. Deselaers, and V. Ferrari, “Measuring the objectness of image windows,” PAMI , 2012
2012
Earlier work this paper cites.
D. Hoiem, Y. Chodpathumwan, and Q. Dai, “Diagnosing error in object detectors,” in ECCV , 2012
2012
Earlier work this paper cites.
K. Simonyan, A. Vedaldi, and A. Zisserman, “Deep inside convolutional networks: Visualising image classification models and saliency maps.” CoRR , 2013
2013
Earlier work this paper cites.
M. Lin, Q. Chen, and S. Yan, “Network in network,” CoRR , 2013
2013
Earlier work this paper cites.
D. Pathak, E. Shelhamer, J. Long, and T. Darrell, “Fully convolutional multi-class multiple instance learning,” CoRR , 2014
2014
Earlier work this paper cites.
L. Zhang, Y. Yang, Y. Gao, Y. Yu, C. Wang, and X. Li, “A probabilistic associative model for segmenting weakly supervised images,” IEEE Transactions on Image Processing , vol. 23, no. 9, pp. 4150–4159, 2014
2014
Earlier work this paper cites.
M. Oquab, L. Bottou, I. Laptev, and J. Sivic, “Learning and transferring mid-level image representations using convolutional neural networks,” in CVPR , 2014
2014
Earlier work this paper cites.
J. T. Springenberg, A. Dosovitskiy, T. Brox, and M. A. Riedmiller, “Striving for simplicity: The all convolutional net.” CoRR , 2014
2014
Earlier work this paper cites.
K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” CoRR , 2014
2014
Earlier work this paper cites.
2014
Cited alongside, same era.
G. Papandreou, L. Chen, K. P. Murphy, and A. L. Yuille, “Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation,” in ICCV , 2015
2015
Cited alongside, same era.
D. Pathak, P. Krähenbühl, and T. Darrell, “Constrained convolutional neural networks for weakly supervised segmentation,” ICCv , 2015
2015
Cited alongside, same era.
P. H. O. Pinheiro and R. Collobert, “From image-level to pixel-level labeling with convolutional networks,” in CVPR , 2015
2015
Cited alongside, same era.
M. Oquab, L. Bottou, I. Laptev, and J. Sivic, “Is object localization for free? – Weakly-supervised learning with convolutional neural networks,” in CVPR , 2015
A. Kolesnikov and C. H. Lampert, “Seed, expand and constrain: Three principles for weakly-supervised image segmentation,” in ECCV , 2016
2016
Later among the works it cites.
J. Zhang, Z. Lin, J. Brandt, X. Shen, and S. Sclaroff, “Top-down neural attention by excitation backprop,” in ECCV , 2016
2016
Later among the works it cites.
F. Meng, H. Li, Q. Wu, B. Luo, and K. N. Ngan, “Weakly supervised part proposal segmentation from multiple images,” IEEE Transactions on Image Processing , vol. 26, no. 8, pp. 4019–4031, 2017
2017
Later among the works it cites.
S. J. Oh, R. Benenson, A. Khoreva, Z. Akata, M. Fritz, and B. Schiele, “Exploiting saliency for object segmentation from image level labels,” in CVPR , 2017
2017
Later among the works it cites.
Y. Wei, J. Feng, X. Liang, M. Cheng, Y. Zhao, and S. Yan, “Object region mining with adversarial erasing: A simple classification to semantic segmentation approach,” in CVPR , 2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2015
Cited alongside, same era.
C. Liang-Chieh, G. Papandreou, I. Kokkinos, K. Murphy, and A. Yuille, “Semantic image segmentation with deep convolutional nets and fully connected CRFs,” in ICLR , 2015
2015
Cited alongside, same era.
A. Bearman, O. Russakovsky, V. Ferrari, and L. Fei-Fei, “What’s the Point: Semantic Segmentation with Point Supervision,” ECCV , 2016
2016
Cited alongside, same era.
X. Qi, Z. Liu, J. Shi, H. Zhao, and J. Jia, “Augmented feedback in semantic segmentation under image level supervision,” in ECCV , 2016
2016
Cited alongside, same era.
F. Saleh, M. S. A. Akbarian, M. Salzmann, L. Petersson, S. Gould, and J. M. Alvarez, “Built-in foreground/background prior for weakly-supervised semantic segmentation,” in ECCV , 2016
2016
Cited alongside, same era.
Y. Wei, W. Xia, M. Lin, J. Huang, B. Ni, J. Dong, Y. Zhao, and S. Yan, “HCP: A flexible CNN framework for multi-label image classification,” 2016
2016
Cited alongside, same era.
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba, “Learning Deep Features for Discriminative Localization.” CVPR , 2016
2016
Cited alongside, same era.
D. Lin, J. Dai, J. Jia, K. He, and J. Sun, “Scribblesup: Scribble-supervised convolutional networks for semantic segmentation,” CVPR , 2016
2016
Cited alongside, same era.
2017
Later among the works it cites.
Y. Wei, X. Liang, Y. Chen, X. Shen, M. Cheng, J. Feng, Y. Zhao, and S. Yan, “STC: A simple to complex framework for weakly-supervised semantic segmentation,” PAMI , 2017
2017
Later among the works it cites.
D. Kim, D. Cho, D. Yoo, and I. S. Kweon, “Two-phase learning for weakly supervised object localization,” in ICCV , 2017
2017
Later among the works it cites.
K. K. Singh and Y. J. Lee, “Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization,” in ICCV , 2017
2017
Later among the works it cites.
K. Li, Z. Wu, K.-C. Peng, J. Ernst, and Y. Fu, “Tell me where to look: Guided attention inference network,” in CVPR , 2018
2018
Closest in time.
X. Wang, S. You, X. Li, and H. Ma, “Weakly-supervised semantic segmentation by iteratively mining common object features,” in CVPR , 2018
2018
Closest in time.
Z. Huang, X. Wang, J. Wang, W. Liu, and J. Wang, “Weakly-supervised semantic segmentation network with deep seeded region growing,” in CVPR , 2018
2018
Closest in time.
Y. Wei, H. Xiao, H. Shi, Z. Jie, J. Feng, and T. S. Huang, “Revisiting dilated convolution: A simple approach for weakly- and semi- supervised semantic segmentation,” in CVPR , 2018
2018
Closest in time.
X. Zhang, Y. Wei, J. Feng, Y. Yang, and T. Huang, “Adversarial complementary learning for weakly supervised object localization,” in CVPR , 2018
2018
Closest in time.