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Scene parsing is challenging for unrestricted open vocabulary and diverse scenes.
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
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Nonparametric scene parsing: Label transfer via dense scene alignment
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The pascal visual object classes VOC challenge
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Semantic contours from inverse detectors
B. Hariharan, P. Arbelaez, L. D. Bourdev, S. Maji, and J. Malik · 2011
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Nonparametric scene parsing via label transfer
C. Liu, J. Yuen, and A. Torralba · 2011
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Are spatial and global constraints really necessary for segmentation?
A. Lucchi, Y. Li, X. B. Bosch, K. Smith, and P. Fua · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Semantic image segmentation with deep convolutional nets and fully connected crfs
L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. B. Girshick, S. Guadarrama, and T. Darrell · 2014
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Microsoft coco: Common objects in context
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The role of context for object detection and semantic segmentation in the wild
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Scalable, high-quality object detection
C. Szegedy, S. E. Reed, D. Erhan, and D. Anguelov · 2014
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Object detectors emerge in deep scene cnns
B. Zhou, A. Khosla, À. Lapedriza, A. Oliva, and A. Torralba · 2014
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2015
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Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
J. Dai, K. He, and J. Sun · 2015
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Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. A. Arbeláez, R. B. Girshick, and J. Malik · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Deeply-supervised nets
C. Lee, S. Xie, P. W. Gallagher, Z. Zhang, and Z. Tu · 2015
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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. S. Torr · 2015
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Higher order conditional random fields in deep neural networks
A. Arnab, S. Jayasumana, S. Zheng, and P. H. S. Torr · 2016
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L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2016
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Attention to scale: Scale-aware semantic image segmentation
L. Chen, Y. Yang, J. Wang, W. Xu, and A. L. Yuille · 2016
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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
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W. Liu, A. Rabinovich, and A. C. Berg · 2015
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Semantic image segmentation via deep parsing network
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Feedforward semantic segmentation with zoom-out features
M. Mostajabi, P. Yadollahpour, and G. Shakhnarovich · 2015
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Learning deconvolution network for semantic segmentation
H. Noh, S. Hong, and B. Han · 2015
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Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation
G. Papandreou, L. Chen, K. P. Murphy, and A. L. Yuille · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. E. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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G. Ghiasi and C. C. Fowlkes · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Convolutional scale invariance for semantic segmentation
I. Kreso, D. Causevic, J. Krapac, and S. Segvic · 2016
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Efficient piecewise training of deep structured models for semantic segmentation
G. Lin, C. Shen, I. D. Reid, and A. van den Hengel · 2016
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Relay backpropagation for effective learning of deep convolutional neural networks
L. Shen, Z. Lin, and Q. Huang · 2016
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Gaussian conditional random field network for semantic segmentation
R. Vemulapalli, O. Tuzel, M. Liu, and R. Chellappa · 2016
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Bridging category-level and instance-level semantic image segmentation
Z. Wu, C. Shen, and A. van den Hengel · 2016
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Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net
F. Xia, P. Wang, L. Chen, and A. L. Yuille · 2016
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Semantic understanding of scenes through the ADE20K dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2016
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