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This paper focuses on channel pruning for semantic segmentation networks.
“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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“Faster R-CNN: Towards real-time object detection with region proposal networks,”
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun, · 2015
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“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
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“Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients,”
Shuchang Zhou, Yuxin Wu, Zekun Ni, Xinyu Zhou, He Wen, and Yuheng Zou, · 2016
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“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.
“Rethinking atrous convolution for semantic image segmentation,”
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam, · 2017
Earlier work this paper cites.
“Learning efficient convolutional networks through network slimming,”
Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, and Changshui Zhang, · 2017
Earlier work this paper cites.
“Channel pruning for accelerating very deep neural networks,”
Yihui He, Xiangyu Zhang, and Jian Sun, · 2017
Earlier work this paper cites.
“Thinet: A filter level pruning method for deep neural network compression,”
Jian-Hao Luo, Jianxin Wu, and Weiyao Lin, · 2017
Earlier work this paper cites.
“Pyramid scene parsing network,”
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia, · 2017
Earlier work this paper cites.
“Scene parsing through ade20k dataset,”
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba, · 2017
Cited alongside, same era.
“Refinenet: Multi-path refinement networks for high-resolution semantic segmentation,”
Guosheng Lin, Anton Milan, Chunhua Shen, and Ian Reid, · 2017
Cited alongside, same era.
“Discrimination-aware channel pruning for deep neural networks,”
Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, and Jinhui Zhu, · 2018
Cited alongside, same era.
“Learning to prune filters in convolutional neural networks,”
Qiangui Huang, Kevin Zhou, Suya You, and Ulrich Neumann, · 2018
Cited alongside, same era.
“Encoder-decoder with atrous separable convolution for semantic image segmentation,”
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam, · 2018
Cited alongside, same era.
“Path aggregation network for instance segmentation,”
“Pcas: Pruning channels with attention statistics for deep network compression,”
Kohei Yamamoto and Kurato Maeno, · 2019
Later among the works it cites.
“Rethinking imagenet pre-training,”
Kaiming He, Ross Girshick, and Piotr Dollár, · 2019
Later among the works it cites.
“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
Later among the works it cites.
“Filter pruning via geometric median for deep convolutional neural networks acceleration,”
Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, and Yi Yang, · 2019
Later among the works it cites.
“Pose guided structured region ensemble network for cascaded hand pose estimation,”
Xinghao Chen, Guijin Wang, Hengkai Guo, and Cairong Zhang, · 2020
Closest in time.
“Eagleeye: Fast sub-net evaluation for efficient neural network pruning,”
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Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, and Jiaya Jia, · 2018
Cited alongside, same era.
“Rethinking the smaller-norm-less-informative assumption in channel pruning of convolution layers,”
Jianbo Ye, Xin Lu, Zhe Lin, and James Z Wang, · 2018
Cited alongside, same era.
“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
Cited alongside, same era.
“Bisenet: Bilateral segmentation network for real-time semantic segmentation,”
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang, · 2018
Cited alongside, same era.
“Unified perceptual parsing for scene understanding,”
Tete Xiao, Yingcheng Liu, Bolei Zhou, Yuning Jiang, and Jian Sun, · 2018
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Bailin Li, Bowen Wu, Jiang Su, and Guangrun Wang, · 2020
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“Optical flow distillation: Towards efficient and stable video style transfer,”
Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, and Chang Xu, · 2020
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“Network pruning via performance maximization,”
Shangqian Gao, Feihu Huang, Weidong Cai, and Heng Huang, · 2021
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“Convolutional neural network pruning with structural redundancy reduction,”
Zi Wang, Chengcheng Li, and Xiangyang Wang, · 2021
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“Cap: Context-aware pruning for semantic segmentation,”
Wei He, Meiqing Wu, Mingfu Liang, and Siew-Kei Lam, · 2021
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