AdaBins: Depth Estimation using Adaptive Bins

Benchmark Model Rank Results
depth-estimation-on-nyu-depth-v2AdaBins#7RMS: 0.364
monocular-depth-estimation-on-kitti-eigenAdaBins#30absolute relative error: 0.058RMSE: 2.360RMSE log: 0.088
monocular-depth-estimation-on-nyu-depth-v2AdaBins#45absolute relative error: 0.103RMSE: 0.364log 10: 0.044