SP-Flow: self-supervised optical flow correspondence point prediction for real-time SLAM

DOI10.1016/j.cagd.2020.101928OpenAlexW3081809735MaRDI QIDQ2005168

Zixuan Qin, Guiqing Li, Feng Yang, Meng-Xiao Yin

Publication date: 7 October 2020

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cagd.2020.101928

zbMATH Keywords

trackingoptical flowSLAMdeep learningkeypoints

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07)

Uses Software

• SIFT
• LSD-SLAM
• FaceNet
• Adam
• KITTI
• LF-Net
• SuperPoint
• TILDE
• ORB-SLAM2
• GCNv2
• UnFlow

Cites Work

• Evaluation of interest point detectors
• Unnamed Item

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