Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery

Research article (arXiv (Cornell University), 2017) · cited 13× · AI/ML
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Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery

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Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery is a scholarly article[1].

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  • Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/flat2sphere-learning-spherical-convolution-for-fast-features-from-360-imagery
MLA “Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/flat2sphere-learning-spherical-convolution-for-fast-features-from-360-imagery.
BibTeX @misc{4ortxyz_flat2sphere-learning-spherical-convolution-for-fast-features-from-360-imagery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery}}, year = {2026}, url = {https://4ort.xyz/entity/flat2sphere-learning-spherical-convolution-for-fast-features-from-360-imagery}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery — https://4ort.xyz/entity/flat2sphere-learning-spherical-convolution-for-fast-features-from-360-imagery (retrieved 2026-05-24)

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