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Models/Thewlis2017unsupervised

Thewlis2017unsupervised

Reported on 6 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 Vision3 results

Facial Landmark DetectiononMAFL
NME· 2017-05-05
6.32
best: 7.95 (TCDCN)
Unsupervised learning of object landmarks by factorized spatial embeddings arXiv:1705.02193
Face ReconstructiononMAFL
NME· 2017-05-05
6.32
best: 7.95 (TCDCN)
Unsupervised learning of object landmarks by factorized spatial embeddings arXiv:1705.02193
3D Face ReconstructiononMAFL
NME· 2017-05-05
6.32
best: 7.95 (TCDCN)
Unsupervised learning of object landmarks by factorized spatial embeddings arXiv:1705.02193

Music1 result

Facial Recognition and ModellingonMAFL
NME· 2017-05-05
6.32
best: 7.95 (TCDCN)
Unsupervised learning of object landmarks by factorized spatial embeddings arXiv:1705.02193

Methodology1 result

3DonMAFL
NME· 2017-05-05
6.32
best: 7.95 (TCDCN)
Unsupervised learning of object landmarks by factorized spatial embeddings arXiv:1705.02193

Medical1 result

3D Face ModellingonMAFL
NME· 2017-05-05
6.32
best: 7.95 (TCDCN)
Unsupervised learning of object landmarks by factorized spatial embeddings arXiv:1705.02193