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Benchmarks
Depth Estimation on Virtual-KITTI 2.0 (test)
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3,217.16
RMSE
FusionConv (Ours)
3,116.7264
3,794.6532
4,472.58
5,150.5068
Mar 24, 2021
RMSE
MAE
iRMSE
iMAE
Updated 4d ago
Evaluation Results
Method
Method
Links
RMSE
MAE
iRMSE
iMAE
FusionConv (Ours)
Modality=Stereo + LiDAR
2021.03
3,217.16
712
7.168
2.694
Sparse2Dense
Modality=Monocular + L...
2021.03
3,357
1,336
12.136
6.243
CCVN
Modality=Stereo + LiDA...
2021.03
3,726.83
915.6
8.814
2.456
PSMnet
Modality=Stereo, Repro...
2021.03
5,728
2,235
9.805
4.38
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