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Benchmarks
Tracking Accuracy on Tanks and Temples (test)
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0.102
ATE RMSE (Caterpillar) [m]
CoMo3R-SLAM
-0.12884
1.42933
2.9875
4.54567
May 28, 2026
ATE RMSE (Caterpillar) [m]
ATE RMSE (Barn) [m]
ATE RMSE (Ignatius) [m]
ATE RMSE (Truck) [m]
Updated 2d ago
Evaluation Results
Method
Method
Links
ATE RMSE (Caterpillar) [m]
ATE RMSE (Barn) [m]
ATE RMSE (Ignatius) [m]
ATE RMSE (Truck) [m]
CoMo3R-SLAM
Input Modality=RGB, Ca...
2026.05
0.102
0.051
0.144
0.053
MultiSlam-DiffPose
Input Modality=RGB
2026.05
0.148
0.221
0.167
0.035
MNE-SLAM
Input Modality=RGB
2026.05
0.155
0.152
0.162
0.19
MAGiC-SLAM
Input Modality=RGB-D
2026.05
0.349
0.519
0.356
0.316
MAC-Ego3D
Input Modality=RGB-D
2026.05
0.361
-
-
0.374
CP-SLAM
Input Modality=RGB-D
2026.05
5.873
4.972
6.178
6.25
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