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Depth Prediction on KITTI original (Eigen split)

0.063Abs Rel

FusionDepth (Refined Depth + GDC)

Updated 4d ago

Evaluation Results

Method
FusionDepth (Refined Depth + GDC) 2021.09	0.063	0.364	3.291	0.139	94.5	97.8	98.8
FusionDepth (Initial Depth + GDC) 2021.09	0.067	0.423	3.42	0.144	94.1	97.7	98.8
FusionDepth (Refined Depth) 2021.09	0.074	0.423	3.61	0.15	93.6	97.3	98.6
FusionDepth (Initial Depth) 2021.09	0.078	0.515	3.67	0.154	93.5	97.3	98.6
Guizilini et al. 2021.09	0.082	0.424	3.73	0.131	91.7	-	-
BTS 2021.09	0.091	0.555	4.033	0.174	90.4	96.7	98.4
DynamicDepth 2022.03	0.096	0.72	4.458	0.175	89.7	96.4	98.4
MonoPL++ 2021.09	0.098	0.714	4.3	0.176	89.9	96.7	98.4
ManyDepth 2022.03	0.098	0.77	4.459	0.176	90	96.5	98.3
Dorn 2021.09	0.099	0.593	3.714	0.161	89.7	96.6	98.6
GLNet 2021.09	0.099	0.796	4.743	0.186	88.4	95.5	97.9
Guizilini et al. 2022.03	0.102	0.698	4.381	0.178	89.6	96.4	98.4
MonoDepth2 2021.09	0.106	0.818	4.75	0.196	87.4	95.7	97.9
Johnston et al. 2022.03	0.106	0.861	4.699	0.185	88.9	96.2	98.2
Wang et al. 2022.03	0.106	0.799	4.662	0.187	88.9	96.1	98.2
Struct2Depth 2021.09	0.109	0.825	4.75	0.187	87.4	95.8	98.3
PackNet-SfM 2021.09	0.111	0.785	4.601	0.189	87.8	96	98.2
Packnet-SFM 2022.03	0.111	0.785	4.601	0.189	87.8	96	98.2
Patil et al. 2022.03	0.111	0.821	4.65	0.187	88.3	96.1	98.2
InstaDM 2022.03	0.112	0.777	4.772	0.191	87.2	95.9	98.2
Lee et al. 2022.03	0.114	0.876	4.715	0.191	87.2	95.5	98.1
Monodepth2 2022.03	0.115	0.903	4.863	0.193	87.7	95.9	98.1
Videos in the wild 2022.03	0.128	0.959	5.23	0.212	84.5	94.7	97.6
Li et al. 2022.03	0.13	0.95	5.138	0.209	84.3	94.8	97.8
MonoDepth 2021.09	0.133	1.142	5.533	0.23	83	93.6	97
EPC++ 2022.03	0.141	1.029	5.35	0.216	81.6	94.1	97.6
Struct2depth (M) 2022.03	0.141	1.026	5.291	0.215	81.6	94.5	97.9
Ranjan et al. 2022.03	0.148	1.149	5.464	0.226	81.5	93.5	97.3
LEGO 2021.09	0.162	1.352	6.276	0.252	78.3	92.1	96.9