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Using convolutional neural networks for 360images can induce sub-optimal performance due to distortions entailed by a planar projection.
A note on a method for generating points uniformly on n-dimensional spheres
Mervin E Muller · 1959
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The topology of the
Hedy Attouch, Roberto Lucchetti, and Roger J-B Wets · 1991
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Healpix: A framework for high-resolution discretization and fast analysis of data distributed on the sphere
Krzysztof M Gorski, Eric Hivon, Anthony J Banday, Benjamin D Wandelt, Frode K Hansen, Mstvos Reinecke, and Matthia Bartelmann · 2005
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Rotation estimation and vanishing point extraction by omnidirectional vision in urban environment
Jean-Charles Bazin, Cédric Demonceaux, Pascal Vasseur, and Inso Kweon · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Recognizing scene viewpoint using panoramic place representation
Jianxiong Xiao, Krista A Ehinger, Aude Oliva, and Antonio Torralba · 2012
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
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Very deep convolutional networks for large-scale image recognition
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Attention is all you need
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Spherical cnns
Taco S. Cohen, Mario Geiger, Jonas Köhler, and Max Welling · 2018
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Benjamin Coors, Alexandru Paul Condurache, and Andreas Geiger · 2018
Local relation networks for image recognition
Han Hu, Zheng Zhang, Zhenda Xie, and Stephen Lin · 2019
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Spherephd: Applying cnns on a spherical polyhedron representation of 360deg images
Yeon Kun Lee, Jaeseok Jeong, Jong Seob Yun, Wonjune Cho, and Kuk-Jin Yoon · 2019
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Are transformers universal approximators of sequence-to-sequence functions?
Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J Reddi, and Sanjiv Kumar · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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360-indoor: towards learning real-world objects in 360deg indoor equirectangular images
Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan-Ting Hsu, Min Sun, and Jianlong Fu · 2020
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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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Deepsphere: a graph-based spherical cnn
Michaël Defferrard, Martino Milani, Frédérick Gusset, and Nathanaël Perraudin · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Kernel transformer networks for compact spherical convolution
Yu-Chuan Su and Kristen Grauman
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Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2020
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On layer normalization in the transformer architecture
Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, and Tieyan Liu · 2020
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Rotation equivariant graph convolutional network for spherical image classification
Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, and Hongkai Xiong · 2020
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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