| HiMODE |
- RMSE
- 0.2619
- absolute relative error
- 0.0532
|
HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model 2022-04-11 |
연결 없음 |
| FreDSNet |
- RMSE
- 0.2727
- absolute relative error
- 0.0952
|
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions 2022-10-04 |
코드 1 |
| NLFB |
- RMSE
- 0.2776
- absolute relative error
- 0.0649
|
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning 2021-09-22 |
코드 1 |
| PanoFormer |
- RMSE
- 0.3083
- absolute relative error
- 0.0405
|
PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation 2022-03-17 |
코드 1 |
| ACDNet |
- RMSE
- 0.341
- absolute relative error
- 0.0984
|
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation 2021-12-29 |
코드 1 |
| OmniFusion (2-iter) |
- RMSE
- 0.3474
- absolute relative error
- 0.095
|
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion 2022-03-02 |
코드 1 |
| GLPanoDepth |
- RMSE
- 0.3493
|
GLPanoDepth: Global-to-Local Panoramic Depth Estimation 2022-02-06 |
코드 1 |
| Neural Contourlet Network |
- RMSE
- 0.3528
- absolute relative error
- 0.0558
|
Neural Contourlet Network for Monocular 360 Depth Estimation 2022-08-03 |
코드 1 |
| SliceNet |
- RMSE
- 0.3684
- absolute relative error
- 0.0744
|
SliceNet: Deep Dense Depth Estimation From a Single Indoor Panorama Using a Slice-Based Representation 2021-06-19 |
연결 없음 |
| DisConv |
- RMSE
- 0.369
- absolute relative error
- 0.176
|
Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images 2018-09-01 |
연결 없음 |
| UniFuse with fusion |
- RMSE
- 0.3691
- absolute relative error
- 0.1114
|
UniFuse: Unidirectional Fusion for 360$^{\circ}$ Panorama Depth Estimation 2021-02-06 |
코드 1 |
| BiFuse++ |
- RMSE
- 0.372
- absolute relative error
- 0.1117
|
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation 2022-09-07 |
코드 1 |
| PanoDepth |
- RMSE
- 0.3747
- absolute relative error
- 0.0972
|
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation 2022-02-02 |
연결 없음 |
| HoHoNet (ResNet-101) |
- RMSE
- 0.3834
- absolute relative error
- 0.1014
|
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features 2020-11-23 |
코드 1 |
| BiFuse with fusion |
- RMSE
- 0.4142
- absolute relative error
- 0.1209
|
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion 2020-06-01 |
코드 1 |
| Jin et al. |
- RMSE
- 0.421
|
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery 2020-06-01 |
연결 없음 |
| SphereDepth |
- RMSE
- 0.4512
- absolute relative error
- 0.1158
|
SphereDepth: Panorama Depth Estimation from Spherical Domain 2022-08-29 |
연결 없음 |
| OmniDepth |
- RMSE
- 0.6152
- absolute relative error
- 0.1996
|
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas 2018-07-25 |
코드 1 |