WebWe present a generalized spherical CNN framework that encompasses various existing approaches and allows them to be leveraged alongside each other. The only existing non … WebApplications where spherical CNNs can be applied include omnidirectional vision for robots, molecular regression problems, and weather/climate modelling. ... The reviews on Spherical CNNs are very positive and it is ranked in the top 1% of papers submitted to ICLR 2024. Positive points are the novelty of the architecture, the wide variety of ...

SPHERICAL CNNS - OpenReview

WebDeepSphere: a graph-based spherical CNN. Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin International Conference on Learning Representations … Web12. apr 2024 · 传统的球面CNN无法扩展到高分辨率分类任务。. 在本文中，我们介绍了球面散射层（spherical scattering layers）——一种新型的球面层，它可以降低输入数据的维数，同时保留相关信息，同时还具有旋转等变的特性。. 散射网络通过使用小波分析中预定义的卷积 … customized dog collars girls

Efficient Generalized Spherical CNNs - iclr.cc

WebReview 4. Summary and Contributions: This paper introduced the spin-weighted spherical CNNs, a new type of spherical CNN that allows anisotropic filters in an efficient way, without ever leaving the spherical domain.The key idea is to consider spin-weighted spherical functions, which were introduced in physics in the study of gravitational waves. WebBalanced Spherical Grid for Egocentric View Synthesis Changwoon Choi · Sang Min Kim · Young Min Kim pCON: Polarimetric Coordinate Networks for Neural Scene Representations ... Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation Ning Zhang · Francesco Nex · George Vosselman · Norman … WebDeepSphere: a graph-based spherical CNN. Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin International Conference on Learning Representations (ICLR), 2024. Designing a convolution for a spherical neural network requires a delicate tradeoff between efficiency and rotation equivariance. customized dual pinion eps