8.6.1.1 Panoptic Segmentation

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Panoptic Segmentation. Perform instance segmentation for foreground instances and semantic segmentation for background simultaneously. See also Instance Segmentation.


Chen, Y.F.[Yi-Feng], Lin, G.C.[Guang-Chen], Li, S.Y.[Song-Yuan], Bourahla, O.[Omar], Wu, Y.M.[Yi-Ming], Wang, F.F.[Fang-Fang], Feng, J.Y.[Jun-Yi], Xu, M.L.[Ming-Liang], Li, X.[Xi],
BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation,
CVPR20(3792-3801)
IEEE DOI 2008
Semantics, Image segmentation, Agriculture, Task analysis, Feature extraction, Pipelines, Convolution BibRef

Dundar, A., Sapra, K., Liu, G., Tao, A., Catanzaro, B.,
Panoptic-Based Image Synthesis,
CVPR20(8067-8076)
IEEE DOI 2008
Convolution, Semantics, Image generation, Task analysis, Generators, Image resolution, Windows BibRef

Hou, R., Li, J., Bhargava, A., Raventos, A., Guizilini, V., Fang, C., Lynch, J., Gaidon, A.,
Real-Time Panoptic Segmentation From Dense Detections,
CVPR20(8520-8529)
IEEE DOI 2008
Semantics, Real-time systems, Image segmentation, Task analysis, Object detection, Proposals, Prediction algorithms BibRef

Wu, Y., Zhang, G., Gao, Y., Deng, X., Gong, K., Liang, X., Lin, L.,
Bidirectional Graph Reasoning Network for Panoptic Segmentation,
CVPR20(9077-9086)
IEEE DOI 2008
Image segmentation, Semantics, Cognition, Task analysis, Feature extraction, Visualization, Proposals BibRef

Wang, H., Luo, R., Maire, M., Shakhnarovich, G.,
Pixel Consensus Voting for Panoptic Segmentation,
CVPR20(9461-9470)
IEEE DOI 2008
Semantics, Transforms, Heating systems, Feature extraction, Image segmentation, Task analysis, Training BibRef

Kim, D., Woo, S., Lee, J., Kweon, I.S.,
Video Panoptic Segmentation,
CVPR20(9856-9865)
IEEE DOI 2008
Task analysis, Image segmentation, Electron tubes, Measurement, Semantics, Head BibRef

Lazarow, J., Lee, K., Shi, K., Tu, Z.,
Learning Instance Occlusion for Panoptic Segmentation,
CVPR20(10717-10726)
IEEE DOI 2008
Head, Semantics, Image segmentation, Proposals, Task analysis, Nickel, Computer vision BibRef

Cheng, B., Collins, M.D., Zhu, Y., Liu, T., Huang, T.S., Adam, H., Chen, L.,
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation,
CVPR20(12472-12482)
IEEE DOI 2008
Semantics, Image segmentation, Decoding, Task analysis, Spatial resolution, Convolution, Feature extraction BibRef

Li, Q., Qi, X., Torr, P.H.S.,
Unifying Training and Inference for Panoptic Segmentation,
CVPR20(13317-13325)
IEEE DOI 2008
Semantics, Training, Head, Pipelines, Feature extraction, Object detection, Image segmentation BibRef

Liu, D., Zhang, D., Song, Y., Zhang, F., O'Donnell, L., Huang, H., Chen, M., Cai, W.,
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting,
CVPR20(4242-4251)
IEEE DOI 2008
Image segmentation, Task analysis, Semantics, Microscopy, Adaptation models, Object detection, Training BibRef

Kirillov, A.[Alexander], He, K.[Kaiming], Girshick, R.[Ross], Rother, C.[Carsten], Dollar, P.[Piotr],
Panoptic Segmentation,
CVPR19(9396-9405).
IEEE DOI 2002
BibRef

Liu, H.[Huanyu], Peng, C.[Chao], Yu, C.Q.[Chang-Qian], Wang, J.[Jingbo], Liu, X.[Xu], Yu, G.[Gang], Jiang, W.[Wei],
An End-To-End Network for Panoptic Segmentation,
CVPR19(6165-6174).
IEEE DOI 2002
BibRef

Li, Y.W.[Yan-Wei], Chen, X.[Xinze], Zhu, Z.[Zheng], Xie, L.X.[Ling-Xi], Huang, G.[Guan], Du, D.L.[Da-Long], Wang, X.G.[Xin-Gang],
Attention-Guided Unified Network for Panoptic Segmentation,
CVPR19(7019-7028).
IEEE DOI 2002
BibRef

Xiong, Y.[Yuwen], Liao, R.[Renjie], Zhao, H.S.[Heng-Shuang], Hu, R.[Rui], Bai, M.[Min], Yumer, E.[Ersin], Urtasun, R.[Raquel],
UPSNet: A Unified Panoptic Segmentation Network,
CVPR19(8810-8818).
IEEE DOI 2002
BibRef

Li, Q.Z.[Qi-Zhu], Arnab, A.[Anurag], Torr, P.H.S.[Philip H. S.],
Weakly- and Semi-supervised Panoptic Segmentation,
ECCV18(XV: 106-124).
Springer DOI 1810
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Co-Segmentation, Cosegmentation .


Last update:Oct 19, 2020 at 15:02:28