Fetching the paper…
Reading the bibliography…
While significant attention has been recently focused on designing supervised deep semantic segmentation algorithms for vision tasks, there are many domains in which sufficient supervised pixel-level labels are difficult to obtain.
Normalized cuts and image segmentation
J. Shi and J. Malik · 2000
Earlier work this paper cites.
Segmentation of brain mr images through a hidden markov random field model and the expectation-maximization algorithm
Y. Zhang, M. Brady, and S. Smith · 2001
Earlier work this paper cites.
A robust approach toward feature space analysis
D. Comaneci and P. M. M. Shift · 2002
Earlier work this paper cites.
Efficient graph-based image segmentation
P. F. Felzenszwalb and D. P. Huttenlocher · 2004
Earlier work this paper cites.
Spectral segmentation with multiscale graph decomposition
T. Cour, F. Benezit, and J. Shi · 2005
Earlier work this paper cites.
Reducing the dimensionality of data with neural networks
G. E. Hinton and R. R. Salakhutdinov · 2006
Earlier work this paper cites.
Hierarchy and adaptivity in segmenting visual scenes
E. Sharon, M. Galun, D. Sharon, R. Basri, and A. Brandt · 2006
Earlier work this paper cites.
Unsupervised learning of invariant feature hierarchies with applications to object recognition
F. J. Huang, Y.-L. Boureau, Y. LeCun, et al · 2007
Earlier work this paper cites.
A variational framework for multiregion pairwise-similarity-based image segmentation
L. Bertelli, B. Sumengen, B. Manjunath, and F. Gibou · 2008
Earlier work this paper cites.
From contours to regions: An empirical evaluation
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik · 2009
Earlier work this paper cites.
Rectified linear units improve restricted boltzmann machines
V. Nair and G. E. Hinton · 2010
Earlier work this paper cites.
Contour detection and hierarchical image segmentation
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik · 2011
Cited alongside, same era.
Efficient inference in fully connected crfs with gaussian edge potentials
P. Krähenbühl and V. Koltun · 2011
Cited alongside, same era.
The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
Cited alongside, same era.
Learning hierarchical features for scene labeling
C. Farabet, C. Couprie, L. Najman, and Y. LeCun · 2013
Cited alongside, same era.
Towards fast and accurate segmentation
C. J. Taylor · 2013
Cited alongside, same era.
Discrete-continuous gradient orientation estimation for faster image segmentation
M. Donoser and D. Schmalstieg · 2014
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Later among the works it cites.
Feedforward semantic segmentation with zoom-out features
M. Mostajabi, P. Yadollahpour, and G. Shakhnarovich · 2015
Later among the works it cites.
Learning deconvolution network for semantic segmentation
H. Noh, S. Hong, and B. Han · 2015
Later among the works it cites.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Later among the works it cites.
Conditional random fields as recurrent neural networks
S. Zheng, S. Jayasumana, B. Romera-Paredes, V. Vineet, Z. Su, D. Du, C. Huang, and P. H. Torr · 2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Simultaneous detection and segmentation
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 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.
Convolutional feature masking for joint object and stuff segmentation
J. Dai, K. He, and J. Sun · 2015
Cited alongside, same era.
Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2015
Cited alongside, same era.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Cited alongside, same era.
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2016
Later among the works it cites.
Xception: Deep learning with depthwise separable convolutions
F. Chollet · 2016
Later among the works it cites.
Enet: A deep neural network architecture for real-time semantic segmentation
A. Paszke, A. Chaurasia, S. Kim, and E. Culurciello · 2016
Later among the works it cites.
Linknet: Exploiting encoder representations for efficient semantic segmentation
A. Chaurasia and E. Culurciello · 2017
Closest in time.
Multiscale combinatorial grouping for image segmentation and object proposal generation
J. Pont-Tuset, P. Arbelaez, J. T. Barron, F. Marques, and J. Malik · 2017
Closest in time.