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We propose PanopticFusion, a novel online volumetric semantic mapping system at the level of stuff and things.
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
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Efficient inference in fully connected crfs with gaussian edge potentials
Philipp Krähenbühl and Vladlen Koltun · 2011
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Kinectfusion: Real-time dense surface mapping and tracking
Richard A Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J Davison, Pushmeet Kohi, Jamie Shotton, Steve Hodges, and Andrew Fitzgibbon · 2011
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Real-time 3d reconstruction at scale using voxel hashing
Matthias Nießner, Michael Zollhöfer, Shahram Izadi, and Marc Stamminger · 2013
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Slam++: Simultaneous localisation and mapping at the level of objects
Renato F Salas-Moreno, Richard A Newcombe, Hauke Strasdat, Paul HJ Kelly, and Andrew J Davison · 2013
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Dense 3d semantic mapping of indoor scenes from rgb-d images
Alexander Hermans, Georgios Floros, and Bastian Leibe · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Elasticfusion: Dense slam without a pose graph
Thomas Whelan, Stefan Leutenegger, Renato F. Salas-Moreno, Ben Glocker, and Andrew J. Davison · 2015
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When 2.5 d is not enough: Simultaneous reconstruction, segmentation and recognition on dense slam
Keisuke Tateno, Federico Tombari, and Nassir Navab · 2016
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Semantic understanding of scenes through the ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2016
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Mask r-cnn for object detection and instance segmentation on keras and tensorflow
Waleed Abdulla · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Semanticfusion: Dense 3d semantic mapping with convolutional neural networks
John McCormac, Ankur Handa, Andrew Davison, and Stefan Leutenegger · 2017
Cited alongside, same era.
Voxblox: Incremental 3d euclidean signed distance fields for on-board mav planning
Helen Oleynikova, Zachary Taylor, Marius Fehr, Roland Siegwart, and Juan Nieto · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
Cited alongside, same era.
Meaningful maps with object-oriented semantic mapping
Niko Sünderhauf, Trung T Pham, Yasir Latif, Michael Milford, and Ian Reid · 2017
Texturenet: Consistent local parametrizations for learning from high-resolution signals on meshes
Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Nießner, and Leonidas Guibas · 2018
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Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár · 2018
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Fusion++: Volumetric object-level slam
John McCormac, Ronald Clark, Michael Bloesch, Andrew Davison, and Stefan Leutenegger · 2018
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Maskfusion: Real-time recognition, tracking and reconstruction of multiple moving objects
M. Runz, M. Buffier, and L. Agapito · 2018
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Splatnet: Sparse lattice networks for point cloud processing
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, and Jan Kautz · 2018
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Cited alongside, same era.
Da-rnn: Semantic mapping with data associated recurrent neural networks
Yu Xiang and Dieter Fox · 2017
Cited alongside, same era.
Semantic 3d occupancy mapping through efficient high order crfs
S. Yang, Y. Huang, and S. Scherer · 2017
Cited alongside, same era.
Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
Cited alongside, same era.
3dmv: Joint 3d-multi-view prediction for 3d semantic scene segmentation
Angela Dai and Matthias Nießner · 2018
Cited alongside, same era.
3d semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and Laurens van der Maaten · 2018
Cited alongside, same era.
3d-sis: 3d semantic instance segmentation of rgb-d scans
Ji Hou, Angela Dai, and Matthias Nießner · 2018
Cited alongside, same era.
Tangent convolutions for dense prediction in 3d
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, and Qian-Yi Zhou · 2018
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Sgpn: Similarity group proposal network for 3d point cloud instance segmentation
Weiyue Wang, Ronald Yu, Qiangui Huang, and Ulrich Neumann · 2018
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Mid-fusion: Octree-based object-level multi-instance dynamic slam
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew Davison, and Stefan Leutenegger · 2018
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Gspn: Generative shape proposal network for 3d instance segmentation in point cloud
Li Yi, Wang Zhao, He Wang, Minhyuk Sung, and Leonidas Guibas · 2018
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http://kaldir.vc.in.tum.de/scannet_benchmark/
Scannet benchmark challenge · 2019
Closest in time.
Masc: Multi-scale affinity with sparse convolution for 3d instance segmentation
Chen Liu and Yasutaka Furukawa · 2019
Closest in time.
Efficient object-oriented semantic mapping with object detector
Yoshikatsu Nakajima and Hideo Saito · 2019
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