Pose Refinement: Bridging The Gap Between Unsupervised Learning And Geometric Methods For Visual Odometry

Unsupervised Learning based monocular visual odometry (VO) has lately drawn significant attention owing to its potential in label-free leaning ability and robustness to camera parameters and environmental variations. However, due to the lack of pose optim
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