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Real-world applications have high demands for semantic segmentation methods.
Segmentation and recognition using structure from motion point clouds
Gabriel J Brostow, Jamie Shotton, Julien Fauqueur, and Roberto Cipolla · 2008
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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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
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Enet: A deep neural network architecture for real-time semantic segmentation
Adam Paszke, Abhishek Chaurasia, Sangpil Kim, and Eugenio Culurciello · 2016
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 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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Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
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Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation
Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda Shapiro, and Hannaneh Hajishirzi · 2018
Earlier work this paper cites.
A comparative study of real-time semantic segmentation for autonomous driving
Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Yogamani, Martin Jagersand, and Hong Zhang · 2018
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Bisenet: Bilateral segmentation network for real-time semantic segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang · 2018
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Icnet for real-time semantic segmentation on high-resolution images
Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, and Jiaya Jia · 2018
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Unet++: A nested u-net architecture for medical image segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang · 2018
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Fasterseg: Searching for faster real-time semantic segmentation
Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, and Zhangyang Wang · 2019
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Learning lightweight lane detection cnns by self attention distillation
Yuenan Hou, Zheng Ma, Chunxiao Liu, and Chen Change Loy · 2019
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Survey on semantic segmentation using deep learning techniques
Fahad Lateef and Yassine Ruichek · 2019
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Cheng Cui, Ruoyu Guo, Yuning Du, Dongliang He, Fu Li, Zewu Wu, Qiwen Liu, Shilei Wen, Jizhou Huang, Xiaoguang Hu, et al · 2021
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Rethinking bisenet for real-time semantic segmentation
Mingyuan Fan, Shenqi Lai, Junshi Huang, Xiaoming Wei, Zhenhua Chai, Junfeng Luo, and Xiaolin Wei · 2021
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Edgeflow: Achieving practical interactive segmentation with edge-guided flow
Yuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, et al · 2021
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Fapn: Feature-aligned pyramid network for dense image prediction
Shihua Huang, Zhichao Lu, Ran Cheng, and Cheng He · 2021
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Alignseg: Feature-aligned segmentation networks
Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S Huang, and Humphrey Shi · 2021
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Hanchao Li, Pengfei Xiong, Haoqiang Fan, and Jian Sun · 2019
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Paddlepaddle: An open-source deep learning platform from industrial practice
Yanjun Ma, Dianhai Yu, Tian Wu, and Haifeng Wang · 2019
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Espnetv2: A light-weight, power efficient, and general purpose convolutional neural network
Sachin Mehta, Mohammad Rastegari, Linda Shapiro, and Hannaneh Hajishirzi · 2019
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In defense of pre-trained imagenet architectures for real-time semantic segmentation of road-driving images
Marin Orsic, Ivan Kreso, Petra Bevandic, and Sinisa Segvic · 2019
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Semantic flow for fast and accurate scene parsing
Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, Shaohua Tan, and Yunhai Tong · 2020
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Paddleseg: A high-efficient development toolkit for image segmentation
Yi Liu, Lutao Chu, Guowei Chen, Zewu Wu, Zeyu Chen, Baohua Lai, and Yuying Hao · 2021
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Swin transformer v2: Scaling up capacity and resolution
Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, et al · 2021
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Attanet: Attention-augmented network for fast and accurate scene parsing
Qi Song, Kangfu Mei, and Rui Huang · 2021
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Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation
Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, and Nong Sang · 2021
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Pp-humanseg: Connectivity-aware portrait segmentation with a large-scale teleconferencing video dataset
Lutao Chu, Yi Liu, Zewu Wu, Shiyu Tang, Guowei Chen, Yuying Hao, Juncai Peng, Zhiliang Yu, Zeyu Chen, Baohua Lai, et al · 2022
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