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We consider the problem of semantic image segmentation using deep convolutional neural networks.
The laplacian pyramid as a compact image code
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G. J. Brostow, J. Fauqueur, and R. Cipolla · 2009
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The PASCAL visual object classes (VOC) challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
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What, where
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Semantic segmentation of urban scenes using dense depth maps
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ImageNet classification with deep convolutional neural networks
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SuperParsing: Scalable nonparametric image parsing with superpixels
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Caffe: Convolutional architecture for fast feature embedding
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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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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
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Deep generative image models using a laplacian pyramid of adversarial networks
E. Denton, S. Chintala, A. Szlam, and R. Fergus · 2015
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
D. Eigen and R. Fergus · 2015
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Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. Arbelaez, R. Girshick, and J. Malik · 2015
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Learning deconvolution network for semantic segmentation
H. Noh, S. Hong, and B. Han · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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SUN RGB-D: A RGB-D scene understanding benchmark suite
S. Song, S. P. Lichtenberg, and J. Xiao · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Learning spatialtemporal features with 3d convolutional networks
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2015
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A. Kendall, V. Badrinarayanan, and R. Cipolla · 2015
Cited alongside, same era.
Deeply-supervised nets
C.-Y. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu · 2015
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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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Holistically-nested edge detection
S. Xie and Z. Tu · 2015
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Recombinator networks: Learning coarse-to-fine feature aggregation
S. Honari, J. Yosinski, P. Vincent, and C. Pal · 2016
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