Single View Stereo Matching

CVPR 2018 Yue LuoJimmy RenMude LinJiahao PangWenxiu SunHongsheng LiLiang Lin

Previous monocular depth estimation methods take a single view and directly regress the expected results. Though recent advances are made by applying geometrically inspired loss functions during training, the inference procedure does not explicitly impose any geometrical constraint... (read more)

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Results from the Paper


#5 best model for Monocular Depth Estimation on KITTI Eigen split (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT LEADERBOARD
Monocular Depth Estimation KITTI Eigen split SVS absolute relative error 0.094 # 5