3 papers
cs.CV2025
EndoGMDE: Generalizable Monocular Depth Estimation with Mixture of Low-Rank Experts for Diverse Endoscopic Scenes
Liangjing Shao, Chenkang Du, Benshuang Chen +2
Self-supervised monocular depth estimation is a significant task for low-cost and efficient 3D scene perception and measurement in endoscopy. However, the variety of illumination c…
cs.CV2025
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training
Liangjing Shao, Linxin Bai, Chenkang Du +1
Monocular depth estimation and ego-motion estimation are significant tasks for scene perception and navigation in stable, accurate and efficient robot-assisted endoscopy. To tackle…
cs.CV2024
Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation
Shuting Zhao, Chenkang Du, Kristin Qi +2
Adaptation methods are developed to adapt depth foundation models to endoscopic depth estimation recently. However, such approaches typically under-perform training since they limi…