Digging Into Self-Supervised Monocular Depth Estimation

Benchmark Model Rank Results
camera-pose-estimation-on-kitti-odometryMonodepth2#7Average Translational Error et[%]: 43.21
monocular-depth-estimation-on-kitti-eigenmonodepth2 M#52absolute relative error: 0.106
monocular-depth-estimation-on-kitti-eigen-1Monodepth2 MS#34absolute relative error: 0.106
monocular-depth-estimation-on-kitti-eigen-1Monodepth2 S#36absolute relative error: 0.109
monocular-depth-estimation-on-kitti-eigen-1Monodepth2 M#42absolute relative error: 0.115Test frames: 1
monocular-depth-estimation-on-make3dMonodepth2#2Abs Rel: 0.322RMSE: 7.417Sq Rel: 3.589
monocular-depth-estimation-on-mid-air-datasetMonodepth2#5Abs Rel: 0.717RMSE: 74.552RMSE log: 0.882SQ Rel: 37.164
monocular-depth-estimation-on-vaMonoDepth2#3Root mean square error (RMSE): 0.432