Depth Estimation on Stanford2D3D Panoramic

Metric: absolute relative error (lower is better)

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#	Model↕	absolute relative error▲	Extra Data	Paper	Date↕	Code
1	PanoFormer	0.0405	No	PanoFormer: Panorama Transformer for Indoor 360 ...	2022-03-17	Code
2	HiMODE	0.0532	No	HiMODE: A Hybrid Monocular Omnidirectional Depth...	2022-04-11	-
3	Neural Contourlet Network	0.0558	No	Neural Contourlet Network for Monocular 360 Dept...	2022-08-03	Code
4	NLFB	0.0649	No	Improving 360 Monocular Depth Estimation via Non...	2021-09-22	Code
5	SliceNet	0.0744	No	-	-	-
6	OmniFusion (2-iter)	0.095	No	OmniFusion: 360 Monocular Depth Estimation via G...	2022-03-02	Code
7	FreDSNet	0.0952	No	FreDSNet: Joint Monocular Depth and Semantic Seg...	2022-10-04	Code
8	PanoDepth	0.0972	No	PanoDepth: A Two-Stage Approach for Monocular Om...	2022-02-02	-
9	ACDNet	0.0984	No	ACDNet: Adaptively Combined Dilated Convolution ...	2021-12-29	Code
10	HoHoNet (ResNet-101)	0.1014	No	HoHoNet: 360 Indoor Holistic Understanding with ...	2020-11-23	Code
11	UniFuse with fusion	0.1114	No	UniFuse: Unidirectional Fusion for 360$^{\circ}$...	2021-02-06	Code
12	BiFuse++	0.1117	No	BiFuse++: Self-supervised and Efficient Bi-proje...	2022-09-07	Code
13	SphereDepth	0.1158	No	SphereDepth: Panorama Depth Estimation from Sphe...	2022-08-29	-
14	BiFuse with fusion	0.1209	No	-	-	Code
15	DisConv	0.176	No	-	-	-
16	OmniDepth	0.1996	No	OmniDepth: Dense Depth Estimation for Indoors Sp...	2018-07-25	Code