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Found 2 papers, 2 papers with code
Single View Stereo Matching
The resulting model outperforms all the previous monocular depth estimation methods as well as the stereo block matching method in the challenging KITTI dataset by only using a small number of real training data.
Ranked #43 on
Monocular Depth Estimation
on KITTI Eigen split
LSTM Pose Machines
Such suboptimal results are mainly attributed to the inability of imposing sequential geometric consistency, handling severe image quality degradation (e. g. motion blur and occlusion) as well as the inability of capturing the temporal correlation among video frames.
Ranked #3 on
Pose Estimation
on J-HMDB
