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Models/FM-Net

FM-Net

Reported on 9 benchmarks across 3 tasks · 1 paper · 9 SOTA

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

Robots3 results

Continuous ControlonUdacity
MAE· 2018-11-07
1.6236
SOTA
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks arXiv:1811.02759
Continuous ControlonComma.ai
MAE· 2018-11-07
0.7048
SOTA
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks arXiv:1811.02759
Continuous ControlonBDD100K val
Accuracy· 2018-11-07
85.03
SOTA
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks arXiv:1811.02759

Methodology3 results

3DonUdacity
MAE· 2018-11-07
1.6236
SOTA
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks arXiv:1811.02759
3DonComma.ai
MAE· 2018-11-07
0.7048
SOTA
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks arXiv:1811.02759
3DonBDD100K val
Accuracy· 2018-11-07
85.03
SOTA
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks arXiv:1811.02759

Medical3 results

3D Face ModellingonUdacity
MAE· 2018-11-07
1.6236
SOTA
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks arXiv:1811.02759
3D Face ModellingonComma.ai
MAE· 2018-11-07
0.7048
SOTA
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks arXiv:1811.02759
3D Face ModellingonBDD100K val
Accuracy· 2018-11-07
85.03
SOTA
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks arXiv:1811.02759