GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network

Benchmark Model Rank Results
monocular-depth-estimation-on-kitti-eigenGCNDepth#51absolute relative error: 0.104RMSE: 4.494RMSE log: 0.181
monocular-depth-estimation-on-kitti-eigen-1GCNDepth#31absolute relative error: 0.104RMSE: 4.494RMSE log: 0.181
monocular-depth-estimation-on-make3dGCNDepth#4Abs Rel: 0.424RMSE: 6.757Sq Rel: 3.075