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Semantic segmentation is an important task for scene understanding in self-driving cars and robotics, which aims to assign dense labels for all pixels in the image.
Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
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Vision meets robotics: The kitti dataset
Geiger, A.; Lenz, P.; Stiller, C.; and Urtasun, R. 2013 · 2013
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Semantic image segmentation with deep convolutional nets and fully connected crfs
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R-cnns for pose estimation and action detection
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The role of context for object detection and semantic segmentation in the wild
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Fully convolutional networks for semantic segmentation
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The cityscapes dataset for semantic urban scene understanding
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Deep residual learning for image recognition
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Enet: A deep neural network architecture for real-time semantic segmentation
Paszke, A.; Chaurasia, A.; Kim, S.; and Culurciello, E. 2016 · 2016
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Integrated face analytics networks through cross-dataset hybrid training
Li, J.; Xiao, S.; Zhao, F.; Zhao, J.; Li, J.; Feng, J.; Yan, S.; and Sim, T. 2017 · 2017
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Erfnet: Efficient residual factorized convnet for real-time semantic segmentation
Romera, E.; Alvarez, J. M.; Bergasa, L. M.; and Arroyo, R. 2017 · 2017
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Pyramid scene parsing network
Zhao, H.; Shi, J.; Qi, X.; Wang, X.; and Jia, J. 2017 · 2017
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Encoder-decoder with atrous separable convolution for semantic image segmentation
Chen, L.-C.; Zhu, Y.; Papandreou, G.; Schroff, F.; and Adam, H. 2018 · 2018
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Boundary-aware feature propagation for scene segmentation
Ding, H.; Jiang, X.; Liu, A. Q.; Thalmann, N. M.; and Wang, G. 2019 · 2019
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Dual attention network for scene segmentation
Fu, J.; Liu, J.; Tian, H.; Li, Y.; Bao, Y.; Fang, Z.; and Lu, H. 2019 · 2019
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Espnetv2: A light-weight, power efficient, and general purpose convolutional neural network
Mehta, S.; Rastegari, M.; Shapiro, L.; and Hajishirzi, H. 2019 · 2019
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Towards universal object detection by domain attention
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nuscenes: A multimodal dataset for autonomous driving
Caesar, H.; Bankiti, V.; Lang, A. H.; Vora, S.; Liong, V. E.; Xu, Q.; Krishnan, A.; Pan, Y.; Baldan, G.; and Beijbom, O. 2020 · 2020
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Swin transformer: Hierarchical vision transformer using shifted windows
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Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation
Mehta, S.; Rastegari, M.; Caspi, A.; Shapiro, L.; and Hajishirzi, H. 2018 · 2018
Cited alongside, same era.
Bdd100k: A diverse driving video database with scalable annotation tooling
Yu, F.; Xian, W.; Chen, Y.; Liu, F.; Liao, M.; Madhavan, V.; and Darrell, T. 2018 · 2018
Cited alongside, same era.
Context encoding for semantic segmentation
Zhang, H.; Dana, K.; Shi, J.; Zhang, Z.; Wang, X.; Tyagi, A.; and Agrawal, A. 2018 · 2018
Cited alongside, same era.
Semantickitti: A dataset for semantic scene understanding of lidar sequences
Behley, J.; Garbade, M.; Milioto, A.; Quenzel, J.; Behnke, S.; Stachniss, C.; and Gall, J. 2019 · 2019
Cited alongside, same era.
Domain-specific batch normalization for unsupervised domain adaptation
Chang, W.-G.; You, T.; Seo, S.; Kwak, S.; and Han, B. 2019 · 2019
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Chen, L.-C.; Papandreou, G.; Kokkinos, I.; Murphy, K.; and Yuille, A. L. 2017a
Cited in the paper.
Rethinking atrous convolution for semantic image segmentation
Chen, L.-C.; Papandreou, G.; Schroff, F.; and Adam, H. 2017b
Cited in the paper.
Liu, Z.; Lin, Y.; Cao, Y.; Hu, H.; Wei, Y.; Zhang, Z.; Lin, S.; and Guo, B. 2021 · 2021
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Segmenter: Transformer for Semantic Segmentation
Strudel, R.; Garcia, R.; Laptev, I.; and Schmid, C. 2021 · 2021
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Rethinking” Batch” in BatchNorm
Wu, Y.; and Johnson, J. 2021 · 2021
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SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Xie, E.; Wang, W.; Yu, Z.; Anandkumar, A.; Alvarez, J. M.; and Luo, P. 2021 · 2021
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Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
Zheng, S.; Lu, J.; Zhao, H.; Zhu, X.; Luo, Z.; Wang, Y.; Fu, Y.; Feng, J.; Xiang, T.; Torr, P. H.; et al. 2021 · 2021
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