Fetching the paper…
Reading the bibliography…
Semantic segmentation has been a long standing challenging task in computer vision.
Segmentation and recognition using structure from motion point clouds
G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla · 2008
Earlier work this paper cites.
Semi-supervised learning (chapelle, o. et al., eds.; 2006)[book reviews]
O. Chapelle, B. Scholkopf, and A. Zien · 2009
Earlier work this paper cites.
Decomposing a scene into geometric and semantically consistent regions
S. Gould, R. Fulton, and D. Koller · 2009
Earlier work this paper cites.
Sun database: Large-scale scene recognition from abbey to zoo
J. Xiao, J. Hays, K. A. Ehinger, A. Oliva, and A. Torralba · 2010
Earlier work this paper cites.
Sift flow: Dense correspondence across scenes and its applications
C. Liu, J. Yuen, and A. Torralba · 2011
Earlier work this paper cites.
The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
Earlier work this paper cites.
Learning hierarchical features for scene labeling
C. Farabet, C. Couprie, L. Najman, and Y. LeCun · 2013
Earlier work this paper cites.
Semantic image segmentation with deep convolutional nets and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2014
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Labeling complete surfaces in scene understanding
R. Guo and D. Hoiem · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
Cited alongside, same era.
Fully convolutional multi-class multiple instance learning
D. Pathak, E. Shelhamer, J. Long, and T. Darrell · 2014
Cited alongside, same era.
Scene parsing with object instances and occlusion ordering
J. Tighe, M. Niethammer, and S. Lazebnik · 2014
Cited alongside, same era.
Segnet: A deep convolutional encoder-decoder architecture for image segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2015
Cited alongside, same era.
Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
J. Dai, K. He, and J. Sun · 2015
Cited alongside, same era.
Weakly-and semi-supervised learning of a dcnn for semantic image segmentation
G. Papandreou, L.-C. Chen, K. Murphy, and A. L. Yuille · 2015
Later among the works it cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
Later among the works it cites.
Fully connected deep structured networks
A. G. Schwing and R. Urtasun · 2015
Later among the works it cites.
Unsupervised and semi-supervised learning with categorical generative adversarial networks
J. T. Springenberg · 2015
Later among the works it cites.
Chainer: a next-generation open source framework for deep learning
S. Tokui, K. Oono, S. Hido, and J. Clayton · 2015
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Decoupled deep neural network for semi-supervised semantic segmentation
S. Hong, H. Noh, and B. Han · 2015
Cited alongside, same era.
How (not) to train your generative model: Scheduled sampling, likelihood, adversary?
F. Huszár · 2015
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Cited alongside, same era.
Feedforward semantic segmentation with zoom-out features
M. Mostajabi, P. Yadollahpour, and G. Shakhnarovich · 2015
Cited alongside, same era.
Learning deconvolution network for semantic segmentation
H. Noh, S. Hong, and B. Han · 2015
Cited alongside, same era.
Later among the works it cites.
From neural pca to deep unsupervised learning
H. Valpola · 2015
Later among the works it cites.
Semantic segmentation using adversarial networks
P. Luc, C. Couprie, S. Chintala, and J. Verbeek · 2016
Later among the works it cites.
Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
Later among the works it cites.
Scene labeling using sparse precision matrix
N. Souly and M. Shah · 2016
Later among the works it cites.