Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Open paper
Benchmark
Model
Rank
Results
monocular-depth-estimation-on-kitti-eigen-1
DIFFNet (MS+1024x320)
#9
absolute relative error: 0.094
RMSE: 4.250
RMSE log: 0.172
…
Rank counts only results with a code link.