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Models/Label2Label

Label2Label

Reported on 8 benchmarks across 8 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 Vision4 results

Pedestrian Attribute RecognitiononPA-100K
Accuracy· uses extra data· 2022-07-18
79.23
best: 90.8 (PATH (Partial FT))
SOTA
Label2Label: A Language Modeling Framework for Multi-Attribute Learning arXiv:2207.08677
Face ReconstructiononLFWA
Error Rate· 2022-07-18
12.49
SOTA
Label2Label: A Language Modeling Framework for Multi-Attribute Learning arXiv:2207.08677
3D Face ReconstructiononLFWA
Error Rate· 2022-07-18
12.49
SOTA
Label2Label: A Language Modeling Framework for Multi-Attribute Learning arXiv:2207.08677
Clothing Attribute RecognitiononClothing Attributes Dataset
Accuracy· 2022-07-18
92.87
SOTA
Label2Label: A Language Modeling Framework for Multi-Attribute Learning arXiv:2207.08677

Music1 result

Facial Recognition and ModellingonLFWA
Error Rate· 2022-07-18
12.49
SOTA
Label2Label: A Language Modeling Framework for Multi-Attribute Learning arXiv:2207.08677

Robots1 result

Autonomous VehiclesonPA-100K
Accuracy· uses extra data· 2022-07-18
79.23
best: 90.8 (PATH (Partial FT))
SOTA
Label2Label: A Language Modeling Framework for Multi-Attribute Learning arXiv:2207.08677

Methodology1 result

3DonLFWA
Error Rate· 2022-07-18
12.49
SOTA
Label2Label: A Language Modeling Framework for Multi-Attribute Learning arXiv:2207.08677

Medical1 result

3D Face ModellingonLFWA
Error Rate· 2022-07-18
12.49
SOTA
Label2Label: A Language Modeling Framework for Multi-Attribute Learning arXiv:2207.08677