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Recent development in fully convolutional neural network enables efficient end-to-end learning of semantic segmentation.
Detect what you can: Detecting and representing objects using holistic models and body parts
Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., Yuille, A.: · 1978
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A survey on evaluation methods for image segmentation
Zhang, Y.J.: · 1996
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Normalized cuts and image segmentation
Shi, J., Malik, J.: · 2000
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Genealogy of the “grandmother cell”
Gross, C.G.: · 2002
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Pattern recognition and machine learning
Bishop, C.M.: · 2006
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The pascal visual object classes (voc) challenge
Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: · 2010
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
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Indoor segmentation and support inference from rgbd images
Nathan Silberman, Derek Hoiem, P.K., Fergus, R.: · 2012
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Perceptual organization and recognition of indoor scenes from rgb-d images
Gupta, S., Arbelaez, P., Malik, J.: · 2013
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Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2014
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Caffe: Convolutional architecture for fast feature embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: · 2014
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Analyzing the performance of multilayer neural networks for object recognition
Agrawal, P., Girshick, R., Malik, J.: · 2014
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The role of context for object detection and semantic segmentation in the wild
Mottaghi, R., Chen, X., Liu, X., Cho, N.G., Lee, S.W., Fidler, S., Urtasun, R., Yuille, A.: · 2014
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Simultaneous detection and segmentation
Hariharan, B., Arbeláez, P., Girshick, R., Malik, J.: · 2014
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Learning rich features from rgb-d images for object detection and segmentation
Gupta, S., Girshick, R., Arbeláez, P., Malik, J.: · 2014
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., Darrell, T.: · 2015
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Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: · 2015
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Attention to scale: Scale-aware semantic image segmentation
Chen, L.C., Yang, Y., Wang, J., Xu, W., Yuille, A.L.: · 2016
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Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: · 2016
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Training region-based object detectors with online hard example mining
Shrivastava, A., Gupta, A., Girshick, R.: · 2016
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Instance-sensitive fully convolutional networks
Dai, J., He, K., Li, Y., Ren, S., Sun, J.: · 2016
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R-fcn: Object detection via region-based fully convolutional networks
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He, K., Zhang, X., Ren, S., Sun, J.: · 2015
Cited alongside, same era.
Unsupervised visual representation learning by context prediction
Doersch, C., Gupta, A., Efros, A.A.: · 2015
Cited alongside, same era.
Conditional random fields as recurrent neural networks
Zheng, S., Jayasumana, S., Romera-Paredes, B., Vineet, V., Su, Z., Du, D., Huang, C., Torr, P.H.: · 2015
Cited alongside, same era.
Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
Dai, J., He, K., Sun, J.: · 2015
Cited alongside, same era.
Lin, G., Milan, A., Shen, C., Reid, I.: · 2016
Cited alongside, same era.
Zhao, H., Shi, J., Qi, X., Wang, X., Jia, J.: · 2016
Cited alongside, same era.
Recalling holistic information for semantic segmentation
Hu, H., Deng, Z., Zhou, G.T., Sha, F., Mori, G.: · 2016
Cited alongside, same era.
Dai, J., Li, Y., He, K., Sun, J.: · 2016
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Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform
Chen, L.C., Barron, J.T., Papandreou, G., Murphy, K., Yuille, A.L.: · 2016
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Efficient piecewise training of deep structured models for semantic segmentation
Lin, G., Shen, C., van den Hengel, A., Reid, I.: · 2016
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Bridging category-level and instance-level semantic image segmentation
Wu, Z., Shen, C., Hengel, A.v.d.: · 2016
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Wider or deeper: Revisiting the resnet model for visual recognition
Wu, Z., Shen, C., Hengel, A.v.d.: · 2016
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Semantic understanding of scenes through the ade20k dataset
Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., Torralba, A.: · 2016
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Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net
Xia, F., Wang, P., Chen, L.C., Yuille, A.L.: · 2016
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Semantic object parsing with graph lstm
Liang, X., Shen, X., Feng, J., Lin, L., Yan, S.: · 2016
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