ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)
摘要
Geometric deep learning is a relatively nascent field that has attracted significant attention in the past few years. This is partly due to the availability of data acquired from non-euclidean domains or features extracted from euclidean-space data that reside on smooth manifolds. For instance, pose data commonly encountered in computer vision reside in Lie groups, while covariance matrices that a...
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关键词
Manifolds,Computer vision,Computer architecture,Biomedical imaging,Neural networks,Measurement,Standards
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