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Several popular approaches to 3D vision tasks process multiple views of the input independently with deep neural networks pre-trained on natural images, achieving view permutation invariance through a single round of pooling over all views.
Symmetry groups and their applications
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The canonical coordinates method for pattern deformation: Theoretical and computational considerations
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Canonical decomposition of steerable functions
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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Geodesic convolutional neural networks on riemannian manifolds
Jonathan Masci, Davide Boscaini, Michael M. Bronstein, and Pierre Vandergheynst · 2015
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Voxnet: A 3d convolutional neural network for real-time object recognition
Daniel Maturana and Sebastian Scherer · 2015
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Multi-view convolutional neural networks for 3d shape recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller · 2015
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3d shapenets: A deep representation for volumetric shapes
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Group equivariant convolutional networks
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Deep aggregation of local 3d geometric features for 3d model retrieval
Takahiko Furuya and Ryutarou Ohbuchi · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Volumetric and multi-view cnns for object classification on 3d data
Charles R Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, and Leonidas J Guibas · 2016
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Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 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
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Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, and Kostas Daniilidis · 2017
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Warped convolutions: Efficient invariance to spatial transformations
Joao F Henriques and Andrea Vedaldi · 2017
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Geometric deep learning on graphs and manifolds using mixture model cnns
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodola, Jan Svoboda, and Michael M Bronstein · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Emiel Hoogeboom, Jorn WT Peters, Taco S Cohen, and Max Welling · 2018
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Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints
Asako Kanezaki, Yasuyuki Matsushita, and Yoshifumi Nishida · 2018
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Clebsch–gordan nets: a fully fourier space spherical convolutional neural network
Risi Kondor, Zhen Lin, and Shubhendu Trivedi · 2018
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On the generalization of equivariance and convolution in neural networks to the action of compact groups
Risi Kondor and Shubhendu Trivedi · 2018
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Ensemble of panorama-based convolutional neural networks for 3d model classification and retrieval
Konstantinos Sfikas, Ioannis Pratikakis, and Theoharis Theoharis · 2018
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Shrec’17 track: Large-scale 3d shape retrieval from shapenet core55
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Dynamic edgeconditioned filters in convolutional neural networks on graphs
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Harmonic networks: Deep translation and rotation equivariance
Daniel E Worrall, Stephan J Garbin, Daniyar Turmukhambetov, and Gabriel J Brostow · 2017
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A general theory of equivariant cnns on homogeneous spaces
Taco Cohen, Mario Geiger, and Maurice Weiler · 2018
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Taco S Cohen, Mario Geiger, Jonas Köhler, and Max Welling · 2018
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Learning so (3) equivariant representations with spherical cnns
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, and Kostas Daniilidis · 2018
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Gvcnn: Group-view convolutional neural networks for 3d shape recognition
Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, and Yue Gao · 2018
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A deeper look at 3d shape classifiers
Jong-Chyi Su, Matheus Gadelha, Rui Wang, and Subhransu Maji · 2018
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Tensor field networks: Rotation-and translation-equivariant neural networks for 3d point clouds
Nathaniel Thomas, Tess Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, and Patrick Riley · 2018
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3d g-cnns for pulmonary nodule detection
Marysia Winkels and Taco S Cohen · 2018
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Cubenet: Equivariance to 3d rotation and translation
Daniel Worrall and Gabriel Brostow · 2018
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Spnet: Deep 3d object classification and retrieval using stereographic projection
Mohsen Yavartanoo, Eu Young Kim, and Kyoung Mu Lee · 2018
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Pvnet: A joint convolutional network of point cloud and multi-view for 3d shape recognition
Haoxuan You, Yifan Feng, Rongrong Ji, and Yue Gao · 2018
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Gauge equivariant convolutional networks and the icosahedral cnn
Taco S. Cohen, Maurice Weiler, Berkay Kicanaoglu, and Max Welling · 2019
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Seqviews2seqlabels: Learning 3d global features via aggregating sequential views by rnn with attention
Zhizhong Han, Mingyang Shang, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, and CL Philip Chen · 2019
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