SENet-154

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· 2018-03-23
0.53
best: 0.013 (Defocus/DepthNet (Normalized))
SOTA
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries arXiv:1803.08673

Methodology1 result

3DonNYU-Depth V2
RMSE· 2018-03-23
0.53
best: 0.013 (Defocus/DepthNet (Normalized))
SOTA
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries arXiv:1803.08673