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It has been widely proven that modelling long-range dependencies in fully convolutional networks (FCNs) via global aggregation modules is critical for complex scene understanding tasks such as semantic segmentation and object detection.
Dynamic graph message passing network
Li Zhang, Dan Xu, Anurag Arnab, and Philip HS Torr · 1908
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2015
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Parsenet: Looking wider to see better
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
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R-fcn: Object detection via region-based fully convolutional networks
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Understanding the effective receptive field in deep convolutional neural networks
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High-performance semantic segmentation using very deep fully convolutional networks
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Zifeng Wu, Chunhua Shen, and Anton van den Hengel · 2016
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Shuicheng Yan Falong Shen, Gan Rui and Gang Zeng · 2017
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Dssd: Deconvolutional single shot detector
Cheng-Yang Fu, Wei Liu, Ananth Ranga, Ambrish Tyagi, and Alexander C Berg · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie · 2017
Deep feature pyramid reconfiguration for object detection
Tao Kong, Fuchun Sun, Chuanqi Tan, Huaping Liu, and Wenbing Huang · 2018
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Yin Li and Abhinav Gupta · 2018
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In-place activated batchnorm for memory-optimized training of dnns
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Non-local neural networks
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Cbam: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
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Denseaspp for semantic segmentation in street scenes
Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, and Kuiyuan Yang · 2018
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Scale-adaptive convolutions for scene parsing
Rui Zhang, Sheng Tang, Yongdong Zhang, Jintao Li, and Shuicheng Yan · 2017
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Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
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Jun Fu, Jing Liu, Haijie Tian, Zhiwei Fang, and Hanqing Lu · 2018
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Ccnet: Criss-cross attention for semantic segmentation
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Adaptive affinity fields for semantic segmentation
Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, and Stella X. Yu · 2018
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Ocnet: Object context network for scene parsing
Yuhui Yuan and Jingdong Wang · 2018
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Context encoding for semantic segmentation
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal · 2018
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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
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Dense relation network: Learning consistent and context-aware representation for semantic image segmentation
Yueqing Zhuang, Fan Yang, Li Tao, Cong Ma, Ziwei Zhang, Yuan Li, Huizhu Jia, Xiaodong Xie, and Wen Gao · 2018
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Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan Yuille, and Li Fei-Fei · 2019
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