D-Net: A Generalised and Optimised Deep Network for Monocular Depth Estimation
Open paper
Benchmark
Model
Rank
Results
monocular-depth-estimation-on-kitti-eigen
D-Net
#28
absolute relative error: 0.056
RMSE: 2.362
Sq Rel: 0.189
…
monocular-depth-estimation-on-nyu-depth-v2
D-Net
#36
absolute relative error: 0.095
RMSE: 0.354
log 10: 0.041
…
Rank counts only results with a code link.