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)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Monocular Depth Estimation KITTI Eigen split monodepth2 M absolute relative error 0.106 # 7