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Models/DCQ

DCQ

Reported on 18 benchmarks across 6 tasks · 1 paper

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

Computer Vision6 results

Face ReconstructiononAgeDB-30
Accuracy· 2021-05-24
0.9823
best: 71.62 (USynthFace)
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
Face ReconstructiononLFW
Accuracy· uses extra data· 2021-05-24
0.998
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
Face ReconstructiononCFP-FP
Accuracy· 2021-05-24
0.9287
best: 0.9951 (PartialFC (R200))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
3D Face ReconstructiononAgeDB-30
Accuracy· 2021-05-24
0.9823
best: 71.62 (USynthFace)
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
3D Face ReconstructiononLFW
Accuracy· uses extra data· 2021-05-24
0.998
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
3D Face ReconstructiononCFP-FP
Accuracy· 2021-05-24
0.9287
best: 0.9951 (PartialFC (R200))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113

Methodology6 results

Face RecognitiononAgeDB-30
Accuracy· 2021-05-24
0.9823
best: 71.62 (USynthFace)
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
Face RecognitiononLFW
Accuracy· uses extra data· 2021-05-24
0.998
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
Face RecognitiononCFP-FP
Accuracy· 2021-05-24
0.9287
best: 0.9933 (GhostFaceNetV2-1)
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
3DonAgeDB-30
Accuracy· 2021-05-24
0.9823
best: 71.62 (USynthFace)
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
3DonLFW
Accuracy· uses extra data· 2021-05-24
0.998
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
3DonCFP-FP
Accuracy· 2021-05-24
0.9287
best: 0.9951 (PartialFC (R200))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113

Music3 results

Facial Recognition and ModellingonAgeDB-30
Accuracy· 2021-05-24
0.9823
best: 71.62 (USynthFace)
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
Facial Recognition and ModellingonLFW
Accuracy· uses extra data· 2021-05-24
0.998
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
Facial Recognition and ModellingonCFP-FP
Accuracy· 2021-05-24
0.9287
best: 0.9951 (PartialFC (R200))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113

Medical3 results

3D Face ModellingonAgeDB-30
Accuracy· 2021-05-24
0.9823
best: 71.62 (USynthFace)
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
3D Face ModellingonLFW
Accuracy· uses extra data· 2021-05-24
0.998
best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113
3D Face ModellingonCFP-FP
Accuracy· 2021-05-24
0.9287
best: 0.9951 (PartialFC (R200))
Dynamic Class Queue for Large Scale Face Recognition In the Wild arXiv:2105.11113