QUAN: Quaternion Networks for Rotation Equivariant Vision Tasks
October 26, 2026
Quaternion Approximate Networks (QUAN) use quaternion algebra to achieve rotation equivariant image classification and object detection. The framework approximates quaternion convolution via Hamilton product decomposition, implemented through custom CUDA kernels for efficiency.
HOW THIS AFFECTS YOU
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builderCustom CUDA kernels allow for efficient deployment of rotation-invariant vision models.
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researcherThis provides a novel way to handle geometric properties in deep learning without full quaternion domains.