SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation

Monocular depth estimation is an ill-posed problem, and as such critically relies on scene priors and semantics. Due to its complexity, we propose a deep neural network model based on a semantic divide-and-conquer approach... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Depth Estimation Cityscapes test SDC-Depth RMSE 6.917 # 1
Monocular Depth Estimation NYU-Depth V2 SDC-Depth RMSE 0.497 # 8

Methods used in the Paper


METHOD TYPE
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