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Found 2 papers, 2 papers with code
Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network
In general, semi-supervised training is preferred as it does not suffer from the weaknesses of either supervised training, resulting from the difference in the cameras and the LiDARs field of view, or unsupervised training, resulting from the poor depth accuracy that can be recovered from a stereo pair.
Ranked #51 on
Monocular Depth Estimation
on KITTI Eigen split
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction
Reliable feature correspondence between frames is a critical step in visual odometry (VO) and visual simultaneous localization and mapping (V-SLAM) algorithms.
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