BiFuse++

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

Depth EstimationonStanford2D3D Panoramic
RMSE· 2022-09-07
0.372
best: 0.2619 (HiMODE)
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation arXiv:2209.02952
Depth EstimationonStanford2D3D Panoramic
absolute relative error· 2022-09-07
0.1117
best: 0.0405 (PanoFormer)
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation arXiv:2209.02952

Methodology2 results

3DonStanford2D3D Panoramic
RMSE· 2022-09-07
0.372
best: 0.2619 (HiMODE)
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation arXiv:2209.02952
3DonStanford2D3D Panoramic
absolute relative error· 2022-09-07
0.1117
best: 0.0405 (PanoFormer)
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation arXiv:2209.02952