SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation

3 Oct 2018 Sudeep Pillai Rares Ambrus Adrien Gaidon

Recent techniques in self-supervised monocular depth estimation are approaching the performance of supervised methods, but operate in low resolution only. We show that high resolution is key towards high-fidelity self-supervised monocular depth prediction... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Monocular Depth Estimation KITTI Eigen split unsupervised SuperDepth S absolute relative error 0.112 # 8

Methods used in the Paper


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