Research map / Architectures and efficiency / CNN design
A General Theory of Equivariant CNNs on Homogeneous Spaces
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- General E(2)-Equivariant Steerable CNNs (NeurIPS 2019 · similarity 0.92)
- On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups (ICML 2018 · similarity 0.91)
- Group Equivariant Convolutional Networks (ICML 2016 · similarity 0.91)
- Efficient Equivariant Network (NeurIPS 2021 · similarity 0.91)
- Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space (ICLR 2024 · similarity 0.89)
- Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts (ICML 2024 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.