Fetching the paper…
Reading the bibliography…
Most existing methods of semantic segmentation still suffer from two aspects of challenges: intra-class inconsistency and inter-class indistinction.
A computational approach to edge detection
J. Canny · 1986
Earlier work this paper cites.
Semantic contours from inverse detectors
B. Hariharan, P. Arbeláez, L. Bourdev, S. Maji, and J. Malik · 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.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
Earlier work this paper cites.
Network in network
M. Lin, Q. Chen, and S. Yan · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Recurrent models of visual attention
V. Mnih, N. Heess, A. Graves, et al · 2014
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 · 2015
Earlier work this paper cites.
Semantic image segmentation via deep parsing network
Z. Liu, X. Li, P. Luo, C.-C. Loy, and X. Tang · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Earlier work this paper cites.
Feedforward semantic segmentation with zoom-out features
M. Mostajabi, P. Yadollahpour, and G. Shakhnarovich · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Earlier work this paper cites.
ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
Earlier work this paper cites.
Holistically-nested edge detection
S. Xie and Z. Tu · 2015
Cited alongside, same era.
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
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2016
Cited alongside, same era.
Attention to scale: Scale-aware semantic image segmentation
L.-C. Chen, Y. Yang, J. Wang, W. Xu, and A. L. Yuille · 2016
Cited alongside, same era.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Cited alongside, same era.
Laplacian pyramid reconstruction and refinement for semantic segmentation
Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning
L. Chen, H. Zhang, J. Xiao, L. Nie, J. Shao, and T.-S. Chua · 2017
Later among the works it cites.
Rethinking atrous convolution for semantic image segmentation
L.-C. Chen, G. Papandreou, F. Schroff, and H. Adam · 2017
Later among the works it cites.
Semantic segmentation via structured patch prediction, context crf and guidance crf
S. Y. Falong Shen, Gan Rui and G. Zeng · 2017
Later among the works it cites.
Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2017
Later among the works it cites.
Not all pixels are equal: difficulty-aware semantic segmentation via deep layer cascade
X. Li, Z. Liu, P. Luo, C. C. Loy, and X. Tang · 2017
Later among the works it cites.
Refinenet: Multi-path refinement networks with identity mappings for high-resolution semantic segmentation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
G. Ghiasi and C. C. Fowlkes · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Efficient piecewise training of deep structured models for semantic segmentation
G. Lin, C. Shen, A. van den Hengel, and I. Reid · 2016
Cited alongside, same era.
Parsenet: Looking wider to see better
W. Liu, A. Rabinovich, and A. C. Berg · 2016
Cited alongside, same era.
Wider or deeper: Revisiting the resnet model for visual recognition
Z. Wu, C. Shen, and A. v. d. Hengel · 2016
Cited alongside, same era.
Object contour detection with a fully convolutional encoder-decoder network
J. Yang, B. Price, S. Cohen, H. Lee, and M.-H. Yang · 2016
Cited alongside, same era.
G. Lin, A. Milan, C. Shen, and I. Reid · 2017
Later among the works it cites.
Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
Later among the works it cites.
Richer convolutional features for edge detection
Y. Liu, M.-M. Cheng, X. Hu, K. Wang, and X. Bai · 2017
Later among the works it cites.
Large kernel matters–improve semantic segmentation by global convolutional network
C. Peng, X. Zhang, G. Yu, G. Luo, and J. Sun · 2017
Later among the works it cites.
Residual attention network for image classification
F. Wang, M. Jiang, C. Qian, S. Yang, C. Li, H. Zhang, X. Wang, and X. Tang · 2017
Later among the works it cites.
Understanding convolution for semantic segmentation
P. Wang, P. Chen, Y. Yuan, D. Liu, Z. Huang, X. Hou, and G. Cottrell · 2017
Later among the works it cites.
Casenet: Deep category-aware semantic edge detection
Z. Yu, C. Feng, M.-Y. Liu, and S. Ramalingam · 2017
Later among the works it cites.
Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
Later among the works it cites.
Scene parsing through ade20k dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2017
Later among the works it cites.