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The recently introduced panoptic segmentation task has renewed our community's interest in unifying the tasks of instance segmentation (for thing classes) and semantic segmentation (for stuff classes).
Scene parsing through ADE20K dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 1901
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Image parsing: Unifying segmentation, detection, and recognition
Z. Tu, X. Chen, A. L. Yuille, and S.-C. Zhu · 2005
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Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation
J. Yao, S. Fidler, and R. Urtasun · 2012
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Microsoft COCO: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Scene parsing with object instances and occlusion ordering
J. Tighe, M. Niethammer, and S. Lazebnik · 2014
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The PASCAL visual object classes challenge: A retrospective
M. Everingham, S. A. Eslami, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2015
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Fast R-CNN
R. Girshick · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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U-Net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks
S. Bell, C. Lawrence Zitnick, K. Bala, and R. Girshick · 2016
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The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
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Laplacian pyramid reconstruction and refinement for semantic segmentation
G. Ghiasi and C. C. Fowlkes · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Recombinator networks: Learning coarse-to-fine feature aggregation
S. Honari, J. Yosinski, P. Vincent, and C. Pal · 2016
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SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
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Cross-stitch networks for multi-task learning
I. Misra, A. Shrivastava, A. Gupta, and M. Hebert · 2016
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
Cited alongside, same era.
Learning to refine object segments
P. O. Pinheiro, T.-Y. Lin, R. Collobert, and P. Dollár · 2016
Cited alongside, same era.
Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
Cited alongside, same era.
Pixelwise instance segmentation with a dynamically instantiated network
A. Arnab and P. H. Torr · 2017
Cited alongside, same era.
Segnet: A deep convolutional encoder-decoder architecture for image segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2017
Cited alongside, same era.
COCO-Stuff 2017 Challenge: Oxford Active Vision Lab team
P. Bilinski and V. Prisacariu · 2017
Cited alongside, same era.
Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
Later among the works it cites.
In-place activated batchnorm for memory-optimized training of DNNs
S. R. Bulò, L. Porzi, and P. Kontschieder · 2018
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COCO-Stuff: Thing and stuff classes in context
H. Caesar, J. Uijlings, and V. Ferrari · 2018
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Cascade R-CNN: Delving into high quality object detection
Z. Cai and N. Vasconcelos · 2018
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Triply supervised decoder networks for joint detection and segmentation
J. Cao, Y. Pang, and X. Li · 2018
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MaskLab: Instance segmentation by refining object detection with semantic and direction features
L.-C. Chen, A. Hermans, G. Papandreou, F. Schroff, P. Wang, and H. Adam · 2018
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L.-C. Chen, G. Papandreou, F. Schroff, and H. Adam · 2017
Cited alongside, same era.
COCO-Stuff 2017 Challenge: Vllab team
J.-T. Chien and H.-T. Chen · 2017
Cited alongside, same era.
Deformable convolutional networks
J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei · 2017
Cited alongside, same era.
BlitzNet: A real-time deep network for scene understanding
N. Dvornik, K. Shmelkov, J. Mairal, and C. Schmid · 2017
Cited alongside, same era.
COCO-Stuff 2017 Challenge: G-RMI team
A. Fathi and K. Murphy · 2017
Cited alongside, same era.
Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Cited alongside, same era.
Later among the works it cites.
DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2018
Later among the works it cites.
Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
Later among the works it cites.
Panoptic segmentation with a joint semantic and instance segmentation network
D. de Geus, P. Meletis, and G. Dubbelman · 2018
Later among the works it cites.
Detectron
R. Girshick, I. Radosavovic, G. Gkioxari, P. Dollár, and K. He · 2018
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Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2018
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
A. Kendall, Y. Gal, and R. Cipolla · 2018
Later among the works it cites.
Learning to fuse things and stuff
J. Li, A. Raventos, A. Bhargava, T. Tagawa, and A. Gaidon · 2018
Later among the works it cites.
Weakly-and semi-supervised panoptic segmentation
Q. Li, A. Arnab, and P. H. Torr · 2018
Later among the works it cites.
Path aggregation network for instance segmentation
S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia · 2018
Later among the works it cites.
Megdet: A large mini-batch object detector
C. Peng, T. Xiao, Z. Li, Y. Jiang, X. Zhang, K. Jia, G. Yu, and J. Sun · 2018
Later among the works it cites.
Non-local neural networks
X. Wang, R. Girshick, A. Gupta, and K. He · 2018
Later among the works it cites.
Group normalization
Y. Wu and K. He · 2018
Later among the works it cites.
PSANet: Point-wise spatial attention network for scene parsing
H. Zhao, Y. Zhang, S. Liu, J. Shi, C. C. Loy, D. Lin, and J. Jia · 2018
Later among the works it cites.
Panoptic segmentation
A. Kirillov, K. He, R. Girshick, C. Rother, and P. Dollár · 2019
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