Eigen et al.

Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision1 result

Depth EstimationonNYU-Depth V2
RMSE· 2014-11-18
0.641
best: 0.013 (Defocus/DepthNet (Normalized))
SOTA
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture arXiv:1411.4734

Methodology1 result

3DonNYU-Depth V2
RMSE· 2014-11-18
0.641
best: 0.013 (Defocus/DepthNet (Normalized))
SOTA
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture arXiv:1411.4734