HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input-Reference-Cited by-同舟云学术

HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input

Author:

Zhang Chao¹^ORCID,Liwicki Stephan¹^ORCID,He Sen²^ORCID,Smith William³^ORCID,Cipolla Roberto⁴^ORCID

Affiliation:

1. Computer Vision Group, Toshiba Europe Limited, Cambridge, U.K.

2. Department of Electrical and Electronic Engineering, University of Surrey, Guildford, U.K.

3. Computer Science, University of York, York, U.K.

4. Department of Engineering, University of Cambridge, Cambridge, U.K.

Funder

Toshiba

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference44 articles.

1. Convolutions on spherical images;eder;Proc IEEE Conf Comp Vis Pattern Recognit,2019

3. Gauge equivariant convolutional networks and the icosahedral CNN;cohen;Proc Int Conf Mach Learn,2019

4. 3D steerable CNNs: Learning rotationally equivariant features in volumetric data;weiler;Proc Int Conf Neural Inf Process,2018

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