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Transformer guided geometry model for flow-based unsupervised visual odometry

Li, XY; Hou, YH; Wang, PC; Gao, ZM; Xu, ML; Li, WQ

Gao, ZM (corresponding author), Zhengzhou Univ, Sch Informat Engn, Zhengzhou, Peoples R China.

NEURAL COMPUTING & APPLICATIONS, ; ():

Abstract

Existing unsupervised visual odometry (VO) methods either match pairwise images or integrate the temporal information using recurrent neural networks ......

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