Firehose

This paper proposes a method to improve dense 3D tracking from monocular video by treating it as a geometric trajectory repair and completion task. Practitioners might care about this research because it provides a more efficient and accurate approach to 3D tracking, especially when using pre-trained trackers and geometry models.

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.