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By taking the semantic object parsing task as an exemplar application scenario, we propose the Graph Long Short-Term Memory (Graph LSTM) network, which is the generalization of LSTM from sequential data or multi-dimensional data to general graph-structured data.
Detect what you can: Detecting and representing objects using holistic models and body parts
Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., et al.: · 1986
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Long short-term memory
Hochreiter, S., Schmidhuber, J.: · 1997
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Multi-dimensional recurrent neural networks
Graves, A., Fernandez, S., Schmidhuber, J.: · 2007
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Offline handwriting recognition with multidimensional recurrent neural networks
Graves, A., Schmidhuber, J.: · 2009
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Slic superpixels
Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Süsstrunk, S.: · 2010
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The pascal visual object classes challenge 2010 (voc2010) results (2010)
Everingham, M., Van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: · 2010
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Who blocks who: Simultaneous clothing segmentation for grouping images
Wang, N., Ai, H.: · 2011
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Discriminative hierarchical part-based models for human parsing and action recognition
Wang, Y., Tran, D., Liao, Z., Forsyth, D.: · 2012
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Parsing clothing in fashion photographs
Yamaguchi, K., Kiapour, M., Ortiz, L., Berg, T.: · 2012
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Paper doll parsing: Retrieving similar styles to parse clothing items
Yamaguchi, K., Kiapour, M., Berg, T.: · 2013
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A deformable mixture parsing model with parselets
Dong, J., Chen, Q., Xia, W., Huang, Z., Yan, S.: · 2013
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Eigen, D., Fergus, R.: · 2014
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Texture classification using 2d lstm networks
Byeon, W., Liwicki, M., Breuel, T.M.: · 2014
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Recurrent models of visual attention
Mnih, V., Heess, N., Graves, A., et al.: · 2014
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., Darrell, T.: · 2014
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Sequence to sequence learning with neural networks
Sutskever, I., Vinyals, O., Le, Q.V.: · 2014
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Parsing semantic parts of cars using graphical models and segment appearance consistency
Lu, W., Lian, X., Yuille, A.: · 2014
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A High Performance CRF Model for Clothes Parsing
Simo-Serra, E., Fidler, S., Moreno-Noguer, F., Urtasun, R.: · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2014
Cited alongside, same era.
Superpixel convolutional networks using bilateral inceptions
Gadde, R., Jampani, V., Kiefel, M., Gehler, P.V.: · 2015
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Generative image modeling using spatial lstms
Theis, L., Bethge, M.: · 2015
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Scene Labeling with LSTM Recurrent Neural Networks
Byeon, W., Breuel, T.M., Raue, F., Liwicki, M.: · 2015
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Semantic object parsing with local-global long short-term memory
Liang, X., Shen, X., Xiang, D., Feng, J., Lin, L., Yan, S.: · 2015
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Semantic part segmentation using compositional model combining shape and appearance
Wang, J., Yuille, A.: · 2015
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Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: · 2014
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Kalchbrenner, N., Danihelka, I., Graves, A.: · 2015
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Action recognition using visual attention
Sharma, S., Kiros, R., Salakhutdinov, R.: · 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.: · 2015
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Semantic image segmentation via deep parsing network
Liu, Z., Li, X., Luo, P., Loy, C.C., Tang, X.: · 2015
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Zoom better to see clearer: Huamn part segmentation with auto zoom net
Xia, F., Wang, P., Chen, L.C., Yuille, A.L.: · 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.: · 2015
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Deep human parsing with active template regression
Liang, X., Liu, S., Shen, X., Yang, J., Liu, L., Dong, J., Lin, L., Yan, S.: · 2015
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End-to-end people detection in crowded scenes
Stewart, R., Andriluka, M.: · 2015
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Improved semantic representations from tree-structured long short-term memory networks
Tai, K.S., Socher, R., Manning, C.D.: · 2015
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Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Liu, S., Liang, X., Liu, L., Shen, X., Yang, J., Xu, C., Lin, L., Cao, X., Yan, S.: · 2015
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Human parsing with contextualized convolutional neural network
Liang, X., Xu, C., Shen, X., Yang, J., Liu, S., Tang, J., Lin, L., Yan, S.: · 2015
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Fully connected deep structured networks
Schwing, A.G., Urtasun, R.: · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2015
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Pixel recurrent neural networks
van den Oord, A., Kalchbrenner, N., Kavukcuoglu, K.: · 2016
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Show, attend and tell: Neural image caption generation with visual attention
Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A.C., Salakhutdinov, R., Zemel, R.S., Bengio, Y.: · 2057
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