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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 27. Aug.
|
|---|
| 1. Verfasser: |
Xu, Mingxing
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Li, Chenglin,
Dai, Wenrui,
Chen, Siheng,
Zou, Junni,
Frossard, Pascal,
Xiong, Hongkai |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2025
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|