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The field-of-view is an important metric when designing a model for semantic segmentation.
Segmentation and recognition using structure from motion point clouds
Gabriel J Brostow, Jamie Shotton, Julien Fauqueur, and Roberto Cipolla · 2008
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Imagenet: A large-scale hierarchical image database
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
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Fully convolutional networks for semantic segmentation
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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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Training region-based object detectors with online hard example mining
Abhinav Shrivastava, Abhinav Gupta, and Ross Girshick · 2016
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He · 2017
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Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 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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Deep spatio-temporal random fields for efficient video segmentation
Siddhartha Chandra, Camille Couprie, and Iasonas Kokkinos · 2018
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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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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 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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Hardnet: A low memory traffic network
Ping Chao, Chao-Yang Kao, Yu-Shan Ruan, Chien-Hsiang Huang, and Youn-Long Lin · 2019
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Bag of tricks for image classification with convolutional neural networks
Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, and Mu Li · 2019
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Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, and Hartwig Adam · 2019
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Dfanet: Deep feature aggregation for real-time semantic segmentation
Hanchao Li, Pengfei Xiong, Haoqiang Fan, and Jian Sun · 2019
Randaugment: Practical automated data augmentation with a reduced search space
Ekin D Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V Le · 2020
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Temporally distributed networks for fast video semantic segmentation
Ping Hu, Fabian Caba, Oliver Wang, Zhe Lin, Stan Sclaroff, and Federico Perazzi · 2020
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Ccnet: Criss-cross attention for semantic segmentation
Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, and Thomas S Huang · 2020
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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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Graph-guided architecture search for real-time semantic segmentation
Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, and Jianping Shi · 2020
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Designing network design spaces
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Selective kernel networks
Xiang Li, Wenhai Wang, Xiaolin Hu, and Jian Yang · 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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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Real-time semantic segmentation via multiply spatial fusion network
Haiyang Si, Zhiqiang Zhang, Feifan Lv, Gang Yu, and Feng Lu · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
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Deep high-resolution representation learning for visual recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin Xiao · 2019
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Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, and Piotr Dollár · 2020
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Fast and accurate model scaling
Piotr Dollár, Mannat Singh, and Ross Girshick · 2021
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Deep dual-resolution networks for real-time and accurate semantic segmentation of road scenes
Yuanduo Hong, Huihui Pan, Weichao Sun, and Yisong Jia · 2021
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Hyperseg: Patch-wise hypernetwork for real-time semantic segmentation
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Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution
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Efficientnetv2: Smaller models and faster training
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Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation
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Resnest: Split-attention networks
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