内窥镜数据立体对应与重建挑战赛
计算机视觉与模式识别
2021-02-01 v4
摘要
内窥镜数据立体对应与重建子挑战赛于2019年在中国深圳举办的MICCAI Endovis挑战赛期间组织。该任务使用由Intuitive Surgical团队提供的、采用猪尸体捕获的结构光数据的7个训练数据集和2个测试集来执行密集深度估计。10支队伍参加了挑战赛当日活动。本文包含挑战赛结束后提交的另外3种方法，以及这些队伍关于数据集所发现问题的补充章节。
引用
@article{arxiv.2101.01133,
title = {Stereo Correspondence and Reconstruction of Endoscopic Data Challenge},
author = {Max Allan and Jonathan Mcleod and Congcong Wang and Jean Claude Rosenthal and Zhenglei Hu and Niklas Gard and Peter Eisert and Ke Xue Fu and Trevor Zeffiro and Wenyao Xia and Zhanshi Zhu and Huoling Luo and Fucang Jia and Xiran Zhang and Xiaohong Li and Lalith Sharan and Tom Kurmann and Sebastian Schmid and Raphael Sznitman and Dimitris Psychogyios and Mahdi Azizian and Danail Stoyanov and Lena Maier-Hein and Stefanie Speidel},
journal= {arXiv preprint arXiv:2101.01133},
year = {2021}
}