On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
Open paper
Benchmark
Model
Rank
Results
depth-completion-on-nyu-depth-v2
DSN
–
RMSE: 0.102
REL: 0.012
monocular-depth-estimation-on-kitti-eigen
DSN
–
absolute relative error: 0.075
monocular-depth-estimation-on-nyu-depth-v2
DSN
–
RMSE: 0.429
Rank counts only results with a code link.