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Depth Prediction on Cityscapes (test)

5.443RMSE

Pilzer et al. (Row 1)

Updated 3d ago

Evaluation Results

Method
Pilzer et al. (Row 1) 2019.06	5.443	0.44	6.036	0.398	0.73	0.887	0.944
SwinMTL 2024.03	5.481	0.089	1.051	0.139	0.921	0.976	0.99
Pilzer et al. (Row 2) 2019.06	5.741	0.467	7.399	0.493	0.735	0.89	0.945
Pilzer et al. 2024.03	5.745	0.438	5.713	0.4	0.711	0.877	0.94
DynamicDepth 2022.03	5.867	0.103	1	0.157	0.895	0.974	0.991
DynamicDepth 2024.03	5.867	0.103	1	0.157	0.895	0.974	0.991
ManyDepth 2021.04	6.223	0.114	1.193	0.17	0.875	0.967	0.989
ManyDepth 2022.03	6.223	0.114	1.193	0.17	0.875	0.967	0.989
SwinMTL 2024.03	6.352	-	-	-	-	-	-
Insta-DM 2021.02	6.437	0.111	1.158	0.182	0.868	0.961	0.983
InstaDM 2022.03	6.437	0.111	1.158	0.182	0.868	0.961	0.983
GLNet 2024.03	6.437	0.111	-	0.182	0.868	0.961	0.983
InstaDM 2024.03	6.437	0.111	1.158	0.182	0.868	0.961	0.983
3-ways 2024.03	6.528	-	-	-	-	-	-
[44] 2024.03	6.649	-	-	-	-	-	-
PanopticDepth 2022.06	6.69	-	-	-	-	-	-
Lee et al. 2022.03	6.695	0.116	1.213	0.186	0.852	0.951	0.982
Lee et al. 2024.03	6.695	0.116	1.213	0.186	0.852	0.951	0.982
PAD-Net 2024.03	6.777	-	-	-	-	-	-
MTL 2024.03	6.797	-	-	-	-	-	-
Monodepth2 2021.04	6.876	0.129	1.569	0.187	0.849	0.957	0.983
Monodepth2 2022.03	6.876	0.129	1.569	0.187	0.849	0.957	0.983
CFCNet 2019.06	6.887	-	-	-	0.889	0.961	0.981
SDC-Depth 2022.06	6.92	-	-	-	-	-	-
Gordon et al. 2021.02	6.96	0.127	1.33	0.195	0.83	0.947	0.981
Videos in the Wild 2021.04	6.96	0.127	1.33	0.195	0.83	0.947	0.981
Videos in the Wild 2022.03	6.96	0.127	1.33	0.195	0.83	0.947	0.981
Li et al. 2021.02	6.98	0.119	1.29	0.19	0.846	0.952	0.982
Li et al. 2021.04	6.98	0.119	1.29	0.19	0.846	0.952	0.982
Li et al. 2022.03	6.98	0.119	1.29	0.19	0.846	0.952	0.982
Li et al. 2024.03	6.98	0.119	1.29	0.19	0.846	0.952	0.982
Struct2Depth (M+R) 2019.06	7.0237	0.1511	2.4916	0.2023	0.8255	0.9372	0.9721
Struct2Depth 2 2021.04	7.024	0.151	2.492	0.202	0.826	0.937	0.972
Struct2Depth 2 2022.03	7.024	0.151	2.492	0.202	0.826	0.937	0.972
Zhang et al. 2022.06	7.1	-	-	-	-	-	-
Pad-Net 2022.06	7.12	-	-	-	-	-	-
Laina et al. 2022.06	7.27	-	-	-	-	-	-
Struct2Depth (M) 2019.06	7.2798	0.1454	1.7368	0.2046	0.813	0.9415	0.9775
Struct2Depth 2021.02	7.28	0.145	1.737	0.205	0.813	0.942	0.978
Struct2Depth 2 2021.04	7.28	0.145	1.737	0.205	0.813	0.942	0.976
Struct2Depth 2 2022.03	7.28	0.145	1.737	0.205	0.813	0.942	0.976
Struct2Depth 2024.03	7.28	0.145	1.737	0.205	0.813	0.942	0.976
Pilzer et al. 2021.04	8.049	0.24	4.264	0.334	0.71	0.871	0.937
Pilzer et al. 2022.03	8.049	0.24	4.264	0.334	0.71	0.871	0.937
MGMNet 2024.03	8.3	-	-	-	-	-	-
Struct2Depth 2 2021.04	8.613	0.222	5.737	0.258	0.774	0.908	0.954
Struct2Depth (R) 2019.06	8.6133	0.2218	5.7374	0.2584	0.7738	0.9076	0.9542
CFCNet 2019.06	9.019	-	-	-	0.828	0.941	0.972
S2R-DepthNet 2021.04	11.164	0.208	2.944	0.314	0.663	0.86	0.941
Hybridnet 2024.03	12.09	-	-	-	-	-	-
T2Net 2021.04	13.922	0.294	4.639	0.425	0.528	0.76	0.868
Baseline 2021.04	13.938	0.297	5.077	0.452	0.516	0.747	0.854