Efficient Domain Adaptation for Endoscopic Visual Odometry

arXiv:2403.10860v1 Announce Type: new
Abstract: Visual odometry plays a crucial role in endoscopic imaging, yet the scarcity of realistic images with ground truth poses poses a significant challenge. Therefore, domain adaptation offers a promising approach to bridge the pre-operative planning domain with the intra-operative real domain for learning odometry information. However, existing methodologies suffer from inefficiencies in the training time. In this work, an efficient neural style transfer framework for endoscopic visual odometry is proposed, which compresses the time from …

abstract arxiv bridge challenge cs.ai cs.cv domain domain adaptation however images imaging information planning role truth type visual