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Depth Estimation on Stanford2D3D

0.095Abs Rel

OmniFusion

Updated 4d ago

Evaluation Results

Method	Links
OmniFusion 2022.03		0.095	0.0491	0.3474	0.1599	0.8988	0.9769	0.9924	-
OmniFusion 2022.03		0.0961	0.0543	0.3715	0.1699	0.894	0.9714	0.99	-
ACDNet 2021.12		0.0984	-	0.341	0.0664	0.8872	0.9704	0.9895	0.187
SliceNet 2021.12		0.0995	-	0.3509	0.0801	0.9029	0.9626	0.9844	0.1757
HoHoNet 2022.03		0.1014	-	0.3834	-	0.9054	0.9693	0.9886	-
HoHoNet 2021.12		0.1014	-	0.3834	0.0668	0.9054	0.9693	0.9886	0.2027
UniFuse with fusion 2022.03		0.1114	-	0.3691	-	0.8711	0.9664	0.9882	-
UniFuse 2021.12		0.1114	-	0.3691	0.0721	0.8711	0.9664	0.9882	0.2082
BiFuse with fusion 2022.03		0.1209	-	0.4142	-	0.866	0.958	0.986	-
BiFuse 2021.12		0.1209	-	0.4142	0.0787	0.866	0.958	0.986	0.2343
SphereNet 2021.12		0.1234	-	0.3833	0.0786	0.8539	0.9567	0.9833	0.2253
FCRN 2022.03		0.1837	-	0.5774	-	0.723	0.9207	0.9731	-
RectNet 2022.03		0.1996	-	0.6152	-	0.6877	0.8891	0.9578	-