REViT-v2：分层窗口旋转反射等变ViT

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   arXiv · Computer Vision

   REViT-v2：分层窗口化旋转反射等变 ViT，用于等变特征提取

   研究者提出 REViT-v2，一种基于窗口化群卷积自注意力与分层特征架构的可扩展旋转群等变视觉 Transformer。该方法可扩展到参数量达数百万的群等变 ViT，并在 ImageNet 等实际尺寸的大规模数据集上验证。代码与预训练权重已开源，论文被 NeurIPS NeurREPS workshop 2026 接收。

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