IEBins: Iterative Elastic Bins for Monocular Depth Estimation
Open paper
Benchmark
Model
Rank
Results
monocular-depth-estimation-on-kitti-eigen
IEBins
#20
absolute relative error: 0.050
RMSE: 2.011
Sq Rel: 0.142
…
monocular-depth-estimation-on-nyu-depth-v2
IEBins
#28
absolute relative error: 0.087
RMSE: 0.314
log 10: 0.038
…
Rank counts only results with a code link.