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Regularizing Deep Networks by Modeling and Predicting Label Structure. In CVPR.","DOI":"10.1109\/CVPR.2018.00590"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.119"},{"key":"e_1_3_2_2_57_1","volume-title":"Marc Proesmans, and Luc Van Gool.","author":"Neven Davy","year":"2019","unstructured":"Davy Neven , Bert De Brabandere , Marc Proesmans, and Luc Van Gool. 2019 . Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth. In CVPR. Davy Neven, Bert De Brabandere, Marc Proesmans, and Luc Van Gool. 2019. Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth. In CVPR."},{"key":"e_1_3_2_2_58_1","unstructured":"Alejandro Newell Zhiao Huang and Jia Deng. 2017. Associative embedding: End-to-end learning for joint detection and grouping. In NeurIPS.  Alejandro Newell Zhiao Huang and Jia Deng. 2017. Associative embedding: End-to-end learning for joint detection and grouping. In NeurIPS."},{"key":"e_1_3_2_2_59_1","volume-title":"The role of context in object recognition. Trends in cognitive sciences 11, 12","author":"Oliva Aude","year":"2007","unstructured":"Aude Oliva and Antonio Torralba . 2007. The role of context in object recognition. Trends in cognitive sciences 11, 12 ( 2007 ), 520--527. Aude Oliva and Antonio Torralba. 2007. The role of context in object recognition. Trends in cognitive sciences 11, 12 (2007), 520--527."},{"key":"e_1_3_2_2_60_1","volume-title":"Personlab: Person pose estimation and in- stance segmentation with a bottom-up, part-based, geometric embedding model. In ECCV.","author":"Papandreou George","year":"2018","unstructured":"George Papandreou , Tyler Zhu , Liang-Chieh Chen , Spyros Gidaris , Jonathan Tompson , and Kevin Murphy . 2018 . Personlab: Person pose estimation and in- stance segmentation with a bottom-up, part-based, geometric embedding model. In ECCV. George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, and Kevin Murphy. 2018. Personlab: Person pose estimation and in- stance segmentation with a bottom-up, part-based, geometric embedding model. In ECCV."},{"key":"e_1_3_2_2_61_1","unstructured":"Pedro O Pinheiro Ronan Collobert and Piotr Doll\u00e1r. 2015. Learning to segment object candidates. In NeurIPS.  Pedro O Pinheiro Ronan Collobert and Piotr Doll\u00e1r. 2015. Learning to segment object candidates. In NeurIPS."},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"crossref","unstructured":"Pedro O Pinheiro Tsung-Yi Lin Ronan Collobert and Piotr Doll\u00e1r. 2016. Learning to refine object segments. In ECCV.  Pedro O Pinheiro Tsung-Yi Lin Ronan Collobert and Piotr Doll\u00e1r. 2016. Learning to refine object segments. In ECCV.","DOI":"10.1007\/978-3-319-46448-0_5"},{"key":"e_1_3_2_2_63_1","volume-title":"Aleksander Colovic, and Peter Kontschieder.","author":"Porzi Lorenzo","year":"2019","unstructured":"Lorenzo Porzi , Samuel Rota Bulo , Aleksander Colovic, and Peter Kontschieder. 2019 . Seamless Scene Segmentation. In CVPR. Lorenzo Porzi, Samuel Rota Bulo, Aleksander Colovic, and Peter Kontschieder. 2019. Seamless Scene Segmentation. In CVPR."},{"key":"e_1_3_2_2_64_1","volume":"200","author":"Rabinovich Andrew","unstructured":"Andrew Rabinovich , Andrea Vedaldi , Carolina Galleguillos , Eric Wiewiora , and Serge J Belongie. 200 7. Objects in Context.. In ICCV. Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora, and Serge J Belongie. 2007. Objects in Context.. In ICCV.","journal-title":"Serge J Belongie."},{"key":"e_1_3_2_2_65_1","unstructured":"Shaoqing Ren Kaiming He Ross Girshick and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. In NeurIPS.  Shaoqing Ren Kaiming He Ross Girshick and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. In NeurIPS."},{"key":"e_1_3_2_2_66_1","volume-title":"U-net: Convolutional networks for biomedical image segmentation. In MICCAI.","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger , Philipp Fischer , and Thomas Brox . 2015 . U-net: Convolutional networks for biomedical image segmentation. In MICCAI. Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. In MICCAI."},{"key":"e_1_3_2_2_67_1","unstructured":"Bryan Russell Alyosha Efros Josef Sivic Bill Freeman and Andrew Zisserman. 2009. Segmenting scenes by matching image composites. In NIPS.  Bryan Russell Alyosha Efros Josef Sivic Bill Freeman and Andrew Zisserman. 2009. Segmenting scenes by matching image composites. In NIPS."},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"crossref","unstructured":"M Saquib Sarfraz Vivek Sharma and Rainer Stiefelhagen. 2019. Efficient Parameter-free Clustering Using First Neighbor Relations. In CVPR.  M Saquib Sarfraz Vivek Sharma and Rainer Stiefelhagen. 2019. Efficient Parameter-free Clustering Using First Neighbor Relations. In CVPR.","DOI":"10.1109\/CVPR.2019.00914"},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00678"},{"key":"e_1_3_2_2_70_1","doi-asserted-by":"crossref","unstructured":"Joseph Tighe and Svetlana Lazebnik. 2010. Superparsing: scalable nonparametric image parsing with superpixels. In ECCV.  Joseph Tighe and Svetlana Lazebnik. 2010. Superparsing: scalable nonparametric image parsing with superpixels. In ECCV.","DOI":"10.1007\/978-3-642-15555-0_26"},{"key":"e_1_3_2_2_71_1","doi-asserted-by":"crossref","unstructured":"Joseph Tighe and Svetlana Lazebnik. 2013. Finding things: Image parsing with regions and per-exemplar detectors. In CVPR.  Joseph Tighe and Svetlana Lazebnik. 2013. Finding things: Image parsing with regions and per-exemplar detectors. In CVPR.","DOI":"10.1109\/CVPR.2013.386"},{"key":"e_1_3_2_2_72_1","volume-title":"Image parsing: Unifying segmentation, detection, and recognition. IJCV","author":"Tu Zhuowen","year":"2005","unstructured":"Zhuowen Tu , Xiangrong Chen , Alan L Yuille , and Song-Chun Zhu . 2005. Image parsing: Unifying segmentation, detection, and recognition. IJCV ( 2005 ). Zhuowen Tu, Xiangrong Chen, Alan L Yuille, and Song-Chun Zhu. 2005. Image parsing: Unifying segmentation, detection, and recognition. IJCV (2005)."},{"key":"e_1_3_2_2_73_1","doi-asserted-by":"crossref","unstructured":"Haochen Wang Ruotian Luo Michael Maire and Greg Shakhnarovich. 2020. Pixel Consensus Voting for Panoptic Segmentation. In CVPR.  Haochen Wang Ruotian Luo Michael Maire and Greg Shakhnarovich. 2020. Pixel Consensus Voting for Panoptic Segmentation. In CVPR.","DOI":"10.1109\/CVPR42600.2020.00948"},{"key":"e_1_3_2_2_74_1","unstructured":"Yangxin Wu Gengwei Zhang Yiming Gao Xiajun Deng Ke Gong Xiaodan Liang and Liang Lin. 2020. Bidirectional Graph Reasoning Network for Panoptic Segmentation. In CVPR.  Yangxin Wu Gengwei Zhang Yiming Gao Xiajun Deng Ke Gong Xiaodan Liang and Liang Lin. 2020. Bidirectional Graph Reasoning Network for Panoptic Segmentation. In CVPR."},{"key":"e_1_3_2_2_75_1","unstructured":"Zhirong Wu Alexei A Efros and Stella X Yu. 2018. Improving Generalization via Scalable Neighborhood Component Analysis. In ECCV.  Zhirong Wu Alexei A Efros and Stella X Yu. 2018. Improving Generalization via Scalable Neighborhood Component Analysis. In ECCV."},{"key":"e_1_3_2_2_76_1","unstructured":"Zhirong Wu Yuanjun Xiong Stella Yu and Dahua Lin. 2018. Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. In CVPR.  Zhirong Wu Yuanjun Xiong Stella Yu and Dahua Lin. 2018. Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. In CVPR."},{"key":"e_1_3_2_2_77_1","unstructured":"Saining Xie Xun Huang and Zhuowen Tu. 2016. Top-down learning for structured labeling with convolutional pseudoprior. In ECCV.  Saining Xie Xun Huang and Zhuowen Tu. 2016. Top-down learning for structured labeling with convolutional pseudoprior. In ECCV."},{"key":"e_1_3_2_2_78_1","doi-asserted-by":"crossref","unstructured":"Yuwen Xiong Renjie Liao Hengshuang Zhao Rui Hu Min Bai Ersin Yumer and Raquel Urtasun. 2019. UPSNet: A Unified Panoptic Segmentation Network. In CVPR.  Yuwen Xiong Renjie Liao Hengshuang Zhao Rui Hu Min Bai Ersin Yumer and Raquel Urtasun. 2019. UPSNet: A Unified Panoptic Segmentation Network. In CVPR.","DOI":"10.1109\/CVPR.2019.00902"},{"key":"e_1_3_2_2_79_1","volume-title":"Deeper- Lab: Single-Shot Image Parser. arXiv preprint arXiv:1902.05093","author":"Yang Tien-Ju","year":"2019","unstructured":"Tien-Ju Yang , Maxwell D Collins , Yukun Zhu , Jyh-Jing Hwang , Ting Liu , Xiao Zhang , Vivienne Sze , George Papandreou , and Liang-Chieh Chen . 2019 . Deeper- Lab: Single-Shot Image Parser. arXiv preprint arXiv:1902.05093 (2019). Tien-Ju Yang, Maxwell D Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, and Liang-Chieh Chen. 2019. Deeper- Lab: Single-Shot Image Parser. arXiv preprint arXiv:1902.05093 (2019)."},{"key":"e_1_3_2_2_80_1","doi-asserted-by":"crossref","unstructured":"Jian Yao Sanja Fidler and Raquel Urtasun. 2012. Describing the scene as a whole: joint object detection. In CVPR.  Jian Yao Sanja Fidler and Raquel Urtasun. 2012. Describing the scene as a whole: joint object detection. In CVPR.","DOI":"10.1109\/CVPR.2012.6247739"},{"key":"e_1_3_2_2_81_1","unstructured":"Fisher Yu and Vladlen Koltun. 2016. Multi-scale context aggregation by dilated convolutions. In ICLR.  Fisher Yu and Vladlen Koltun. 2016. Multi-scale context aggregation by dilated convolutions. In ICLR."},{"key":"e_1_3_2_2_82_1","unstructured":"Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang and Jiaya Jia. 2017. Pyramid scene parsing network. In CVPR.  Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang and Jiaya Jia. 2017. Pyramid scene parsing network. In CVPR."},{"key":"e_1_3_2_2_83_1","doi-asserted-by":"crossref","unstructured":"Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang and Philip HS Torr. 2015. Conditional random fields as recurrent neural networks. In ICCV.  Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang and Philip HS Torr. 2015. Conditional random fields as recurrent neural networks. In ICCV.","DOI":"10.1109\/ICCV.2015.179"},{"key":"e_1_3_2_2_84_1","doi-asserted-by":"crossref","unstructured":"Xingyi Zhou Jiacheng Zhuo and Philipp Krahenbuhl. 2019. Bottom-up object detection by grouping extreme and center points. In CVPR.  Xingyi Zhou Jiacheng Zhuo and Philipp Krahenbuhl. 2019. Bottom-up object detection by grouping extreme and center points. In CVPR.","DOI":"10.1109\/CVPR.2019.00094"},{"key":"e_1_3_2_2_85_1","volume-title":"A stochastic grammar of images. Foundations and Trends\u00aein Computer Graphics and Vision","author":"Zhu Song-Chun","year":"2007","unstructured":"Song-Chun Zhu and David Mumford . 2007. A stochastic grammar of images. Foundations and Trends\u00aein Computer Graphics and Vision ( 2007 ). Song-Chun Zhu and David Mumford. 2007. A stochastic grammar of images. 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