Fetching the paper…
Reading the bibliography…
In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the selfattention mechanism.
The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
Earlier work this paper cites.
Image annotation by k nn-sparse graph-based label propagation over noisily tagged web images
Jinhui Tang, Richang Hong, Shuicheng Yan, Tat-Seng Chua, Guo-Jun Qi, and Ramesh Jain · 2011
Earlier work this paper cites.
The role of context for object detection and semantic segmentation in the wild
Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, and Alan L. Yuille · 2014
Earlier work this paper cites.
Scene labeling with LSTM recurrent neural networks
Wonmin Byeon, Thomas M. Breuel, Federico Raue, and Marcus Liwicki · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Rgb-d object recognition via incorporating latent data structure and prior knowledge
Jinhui Tang, Lu Jin, Zechao Li, and Shenghua Gao · 2015
Earlier work this paper cites.
Coco-stuff: Thing and stuff classes in context
Holger Caesar, Jasper R. R. Uijlings, and Vittorio Ferrari · 2016
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
Earlier work this paper cites.
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin, Chunhua Shen, Anton van den Hengel, and Ian D. Reid · 2016
Earlier work this paper cites.
Wider or deeper: Revisiting the resnet model for visual recognition
Zifeng Wu, Chunhua Shen, and Anton van den Hengel · 2016
Earlier work this paper cites.
Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
Cited alongside, same era.
Stacked deconvolutional network for semantic segmentation
Jun Fu, Jing Liu, Yuhang Wang, and Hanqing Lu · 2017
Cited alongside, same era.
Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
Guosheng Lin, Anton Milan, Chunhua Shen, and Ian D. Reid · 2017
Cited alongside, same era.
A structured self-attentive sentence embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio · 2017
Cited alongside, same era.
Large kernel matters - improve semantic segmentation by global convolutional network
Chao Peng, Xiangyu Zhang, Gang Yu, Guiming Luo, and Jian Sun · 2017
Disan: Directional self-attention network for rnn/cnn-free language understanding
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, and Chengqi Zhang · 2018
Closest in time.
Scene segmentation with dag-recurrent neural networks
Bing Shuai, Zhen Zuo, Bing Wang, and Gang Wang · 2018
Closest in time.
Understanding convolution for semantic segmentation
Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, and Garrison W. Cottrell · 2018
Closest in time.
Non-Local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
Closest in time.
Denseaspp for semantic segmentation in street scenes
Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, and Kuiyuan Yang · 2018
Closest in time.
Bisenet: Bilateral segmentation network for real-time semantic segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2018
Cited alongside, same era.
Context contrasted feature and gated multi-scale aggregation for scene segmentation
Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, and Gang Wang · 2018
Cited alongside, same era.
Multi-scale context intertwining for semantic segmentation
Di Lin, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, and Hui Huang · 2018
Cited alongside, same era.
Closest in time.
Ocnet: Object context network for scene parsing
Yuhui Yuan and Jingdong Wang · 2018
Closest in time.
Context encoding for semantic segmentation
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal · 2018
Closest in time.
Self-attention generative adversarial networks
Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, and Augustus Odena · 2018
Closest in time.
Psanet: Point-wise spatial attention network for scene parsing
Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, and Jiaya Jia · 2018
Closest in time.