This paper introduces a new deep learning framework called Quaternion Approximate Networks (QUAN) that uses quaternions to improve image classification and object detection. Practitioners might care about QUAN because it can achieve higher accuracy with fewer parameters and faster convergence, making it suitable for deployment in resource-constrained robotic systems.
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