Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/VarGNet

VarGNet

Reported on 12 benchmarks across 6 tasks · 1 paper · 12 SOTA

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

Computer Vision6 results

Face VerificationonAgeDB-30
Accuracy· 2019-07-12
0.97333
best: 0.987 (PartialFC(R200))
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653
Face VerificationonCFP-FP
Accuracy· 2019-07-12
0.89829
best: 0.9951 (PartialFC (R200))
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653
Face ReconstructiononAgeDB-30
Accuracy· 2019-07-12
0.97333
best: 71.62 (USynthFace)
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653
Face ReconstructiononCFP-FP
Accuracy· 2019-07-12
0.89829
best: 0.9951 (PartialFC (R200))
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653
3D Face ReconstructiononAgeDB-30
Accuracy· 2019-07-12
0.97333
best: 71.62 (USynthFace)
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653
3D Face ReconstructiononCFP-FP
Accuracy· 2019-07-12
0.89829
best: 0.9951 (PartialFC (R200))
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653

Music2 results

Facial Recognition and ModellingonAgeDB-30
Accuracy· 2019-07-12
0.97333
best: 71.62 (USynthFace)
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653
Facial Recognition and ModellingonCFP-FP
Accuracy· 2019-07-12
0.89829
best: 0.9951 (PartialFC (R200))
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653

Methodology2 results

3DonAgeDB-30
Accuracy· 2019-07-12
0.97333
best: 71.62 (USynthFace)
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653
3DonCFP-FP
Accuracy· 2019-07-12
0.89829
best: 0.9951 (PartialFC (R200))
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653

Medical2 results

3D Face ModellingonAgeDB-30
Accuracy· 2019-07-12
0.97333
best: 71.62 (USynthFace)
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653
3D Face ModellingonCFP-FP
Accuracy· 2019-07-12
0.89829
best: 0.9951 (PartialFC (R200))
SOTA
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing arXiv:1907.05653