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Panoptic segmentation, which needs to assign a category label to each pixel and segment each object instance simultaneously, is a challenging topic.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 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
Earlier work this paper cites.
Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 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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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2015
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Monocular object instance segmentation and depth ordering with cnns
Z. Zhang, A. G. Schwing, S. Fidler, and R. Urtasun · 2015
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Attention to scale: Scale-aware semantic image segmentation
L.-C. Chen, Y. Yang, J. Wang, W. Xu, and A. L. Yuille · 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
Earlier work this paper cites.
Instance-aware semantic segmentation via multi-task network cascades
J. Dai, K. He, and J. Sun · 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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Multi-scale patch aggregation (mpa) for simultaneous detection and segmentation
S. Liu, X. Qi, J. Shi, H. Zhang, and J. Jia · 2016
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Cross-stitch networks for multi-task learning
I. Misra, A. Shrivastava, A. Gupta, and M. Hebert · 2016
Cited alongside, same era.
Recurrent instance segmentation
B. Romera-Paredes and P. H. S. Torr · 2016
Cited alongside, same era.
Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net
F. Xia, P. Wang, L.-C. Chen, and A. L. Yuille · 2016
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.
Deep watershed transform for instance segmentation
M. Bai and R. Urtasun · 2017
Cited alongside, same era.
Semantic instance segmentation with a discriminative loss function
B. De Brabandere, D. Neven, and L. Van Gool · 2017
Scene parsing through ade20k dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2017
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Coco-stuff: Thing and stuff classes in context
H. Caesar, J. Uijlings, and V. Ferrari · 2018
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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
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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Panoptic segmentation with a joint semantic and instance segmentation network
D. de Geus, P. Meletis, and G. Dubbelman · 2018
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Cited alongside, same era.
Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Cited alongside, same era.
Instancecut: from edges to instances with multicut
A. Kirillov, E. Levinkov, B. Andres, B. Savchynskyy, and C. Rother · 2017
Cited alongside, same era.
Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory
I. Kokkinos · 2017
Cited alongside, same era.
Fully convolutional instance-aware semantic segmentation
Y. Li, H. Qi, J. Dai, X. Ji, and Y. Wei · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2017
Cited alongside, same era.
Sgn: Sequential grouping networks for instance segmentation
S. Liu, J. Jia, S. Fidler, and R. Urtasun · 2017
Cited alongside, same era.
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.
A. Kirillov, K. He, R. Girshick, C. Rother, and P. Dollár · 2018
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Weakly-and semi-supervised panoptic segmentation
Q. Li, A. Arnab, and P. H. Torr · 2018
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Attention-guided unified network for panoptic segmentation
Y. Li, X. Chen, Z. Zhu, L. Xie, G. Huang, D. Du, and X. Wang · 2018
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Detnet: Design backbone for object detection
Z. Li, C. Peng, G. Yu, X. Zhang, Y. Deng, and J. Sun · 2018
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Path aggregation network for instance segmentation
S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia · 2018
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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
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Bisenet: Bilateral segmentation network for real-time semantic segmentation
C. Yu, J. Wang, C. Peng, C. Gao, G. Yu, and N. Sang · 2018
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Learning a discriminative feature network for semantic segmentation
C. Yu, J. Wang, C. Peng, C. Gao, G. Yu, and N. Sang · 2018
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Taskonomy: Disentangling task transfer learning
A. R. Zamir, A. Sax, W. Shen, L. J. Guibas, J. Malik, and S. Savarese · 2018
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Exfuse: Enhancing feature fusion for semantic segmentation
Z. Zhang, X. Zhang, C. Peng, X. Xue, and J. Sun · 2018
Later among the works it cites.