Digging Into Self-Supervised Monocular Depth Estimation

4 Jun 2018Clément GodardOisin Mac AodhaMichael FirmanGabriel Brostow

Per-pixel ground-truth depth data is challenging to acquire at scale. To overcome this limitation, self-supervised learning has emerged as a promising alternative for training models to perform monocular depth estimation... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Monocular Depth Estimation KITTI Eigen split monodepth2 M absolute relative error 0.106 # 8

Methods used in the Paper


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