SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation

31 March 2023

Papers citing "SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation"

3 / 3 papers shown

Title
Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking Shan Lin Albert J. Miao Jingpei Lu Shunkai Yu Zih-Yun Chiu Florian Richter Michael C. Yip 40 23 0 29 Oct 2022
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation Rui Peng Ronggang Wang Yawen Lai Luyang Tang Yangang Cai MDE 53 72 0 26 Sep 2021
From Bench to Bedside: The First Live Robotic Surgery on the dVRK to Enable Remote Telesurgery with Motion Scaling Florian Richter E. Funk Won Seo Park Ryan K. Orosco Michael C. Yip 35 9 0 24 Sep 2021