"3D Steerable CNNs: Learning Rotationally Equivariant Features in ..."

Maurice Weiler et al. (2018)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2021-01-21

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  dblp key:
  - conf/nips/WeilerGWBC18
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  - https://dblp.org/rec/conf/nips/WeilerGWBC18
Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen:
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data. NeurIPS 2018: 10402-10413

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