Hierarchical Spherical CNNs with Lifting-Based Adaptive Wavelets for Pooling and Unpooling
Pooling and unpooling are indispensable in constructing hierarchical spherical convolutional neural networks (HS-CNNs). Most existing models employ simple downsampling-based pooling, which ignores the sampling theorem and cannot adapt to different spherical signals (with different spectra) and tasks...
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| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 27. Aug.
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| Auteur principal: |
Xu, Mingxing
(Auteur) |
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| Autres auteurs: |
Li, Chenglin,
Dai, Wenrui,
Chen, Siheng,
Zou, Junni,
Frossard, Pascal,
Xiong, Hongkai |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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