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Models/VNL

VNL

Reported on 16 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision8 results

Depth EstimationonNYU-Depth V2
Delta < 1.25· 2019-07-29
0.875
best: 0.989 (UniK3D (FT, metric))
SOTA
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
Depth EstimationonNYU-Depth V2
Delta < 1.25^2· 2019-07-29
0.976
best: 1 (HybridDepth)
SOTA
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
Depth EstimationonNYU-Depth V2
absolute relative error· 2019-07-29
0.111
best: 0.026 (HybridDepth)
SOTA
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
Depth EstimationonNYU-Depth V2
log 10· 2019-07-29
0.048
best: 0.059 (SC-DepthV2)
SOTA
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
Depth EstimationonNYU-Depth V2
RMS· 2019-07-29
0.416
best: 0.792 (PAD-Net)
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
Depth EstimationonNYU-Depth V2
Delta < 1.25^3· 2019-07-29
0.989
best: 1 (HybridDepth)
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
Depth EstimationonNYU-Depth V2
RMSE· 2019-07-29
0.416
best: 0.013 (Defocus/DepthNet (Normalized))
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
Depth EstimationonKITTI Eigen split
absolute relative error· 2019-07-29
0.072
best: 0.029 (SPIDepth)
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209

Methodology8 results

3DonNYU-Depth V2
Delta < 1.25· 2019-07-29
0.875
best: 0.989 (UniK3D (FT, metric))
SOTA
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
3DonNYU-Depth V2
Delta < 1.25^2· 2019-07-29
0.976
best: 1 (HybridDepth)
SOTA
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
3DonNYU-Depth V2
absolute relative error· 2019-07-29
0.111
best: 0.026 (HybridDepth)
SOTA
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
3DonNYU-Depth V2
log 10· 2019-07-29
0.048
best: 0.059 (SC-DepthV2)
SOTA
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
3DonNYU-Depth V2
RMS· 2019-07-29
0.416
best: 0.792 (PAD-Net)
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
3DonNYU-Depth V2
Delta < 1.25^3· 2019-07-29
0.989
best: 1 (HybridDepth)
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
3DonNYU-Depth V2
RMSE· 2019-07-29
0.416
best: 0.013 (Defocus/DepthNet (Normalized))
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209
3DonKITTI Eigen split
absolute relative error· 2019-07-29
0.072
best: 0.029 (SPIDepth)
Enforcing geometric constraints of virtual normal for depth prediction arXiv:1907.12209