Spherical CNNs on Unstructured Grids

We present an efficient convolution kernel for Convolutional Neural Networks (CNNs) on unstructured grids using parameterized differential operators while focusing on spherical signals such as panorama images or planetary signals. To this end, we replace conventional convolution kernels with linear...

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Bibliographische Detailangaben

Hauptverfasser:	Jiang, Chiyu "Max", Huang, Jingwei, Kashinath, Karthik, Prabhat, Marcus, Philip, Niessner, Matthias
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
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