Group Equivariant Stand-Alone Self-Attention For Vision
David W. Romero, Jean-Baptiste Cordonnier
2021年份
72被引次数
33顶会引用
摘要
We provide a general self-attention formulation to impose group equivariance to arbitrary symmetry groups. This is achieved by defining positional encodings that are invariant to the action of the group considered. Since the group acts on the positional encoding directly, group equivariant self-attention networks (GSA-Nets) are steerable by nature. Our experiments on vision benchmarks demonstrate consistent improvements of GSA-Nets over non-equivariant self-attention networks.
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引用它的顶会 Paper33
- E(n) Equivariant Graph Neural NetworksVictor Garcia Satorras, Emiel Hoogeboom, Max WellingICML 2021 · 被引用 1,432 次
- Frame Averaging for Invariant and Equivariant Network DesignOmri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra 等ICLR 2022 · 被引用 177 次
- Is Attention Better Than Matrix Decomposition?Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li 等ICLR 2021 · 被引用 171 次
- CKConv: Continuous Kernel Convolution For Sequential DataDavid W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub Mikolaj Tomczak 等ICLR 2022 · 被引用 149 次
- LieTransformer: Equivariant Self-Attention for Lie GroupsMichael J. Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont 等ICML 2021 · 被引用 132 次
它引用的顶会 Paper20
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