# QUAN: Quaternion Approximate Networks Improve Image Classification and Oriented Object Detection

- Source: arXiv cs.RO
- Published: 2026-10-28T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/ma3q1tb4kgnzc0p4r36vf8dpd
- Original: https://arxiv.org/abs/2509.05512

## Summary

The paper proposes Quaternion Approximate Networks (QUAN), which use Hamilton product decomposition to approximate quaternion convolution with real-valued operations, paired with custom CUDA kernels to achieve rotation-equivariant image classification and object detection. The authors also propose Independent Quaternion Batch Normalization (IQBN) to stabilize training and extend quaternion operations to spatial attention mechanisms.