Self-supervised Recurrent Visual Odometry, Depth Estimation, and Instance Segmentation

Author:

Lin Chujia1ORCID,Liu Yiqi1ORCID,Chen An1ORCID,Gao Hongxia1ORCID

Affiliation:

1. South China University of Technology, China

Funder

the Guangdong Technology International Cooperation Project Application

Xijiang Innovation Team Project

the Guangdong Basic and Applied Basic Research Foundation

National Natural Science Foundation of China

Publisher

ACM

Reference25 articles.

1. Nicolas Ballas, Li Yao, Chris Pal, and Aaron Courville. 2015. Delving deeper into convolutional networks for learning video representations. arXiv preprint arXiv:1511.06432 (2015).

2. Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, and Ian Reid. 2019. Unsupervised scale-consistent depth and ego-motion learning from monocular video. Advances in neural information processing systems 32 (2019).

3. Unsupervised Scale-Consistent Depth Learning from Video

4. ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

5. Andrew J Davison, Ian D Reid, Nicholas D Molton, and Olivier Stasse. 2007. MonoSLAM: Real-time single camera SLAM. IEEE transactions on pattern analysis and machine intelligence 29, 6 (2007), 1052–1067.

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