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We present a single network method for panoptic segmentation.
Finding pictures of objects in large collections of images
D. A. Forsyth, J. Malik, M. M. Fleck, H. Greenspan, T. Leung, S. Belongie, C. Carson, and C. Bregler · 1996
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ImageNet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. Li, K. Li, and L. Fei-Fei · 2009
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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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Fast R-CNN
R. Girshick · 2015
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Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling
J. Uhrig, M. Cordts, U. Franke, and T. Brox · 2016
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Pixelwise Instance Segmentation with a Dynamically Instantiated Network
A. Arnab and P. H. S. Torr · 2017
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Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes
G. Neuhold, T. Ollmann, S. R. Bulò, and P. Kontschieder · 2017
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H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
L. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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A. Kirillov, K. He, R. Girshick, C. Rother, and P. Dollár · 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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P. Meletis and G. Dubbelman · 2018
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