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/MiVOLO-V2

MiVOLO-V2

Reported on 48 benchmarks across 8 tasks · 1 paper · 48 SOTA

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

Computer Vision22 results

Face ReconstructiononLAGENDA
MAE· uses extra data· 2024-03-04
3.65
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Face ReconstructiononIMDB-Clean
Average mean absolute error· uses extra data· 2024-03-04
3.97
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Face ReconstructiononCACD
MAE· uses extra data· 2024-03-04
3.89
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Face ReconstructiononLAGENDA
Accuracy· uses extra data· 2024-03-04
97.99
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Face ReconstructiononFairFace
age-top1· uses extra data· 2024-03-04
62.28
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Face ReconstructiononFairFace
gender-top1· uses extra data· 2024-03-04
97.5
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Face ReconstructiononAdience Gender
Accuracy (5-fold)· uses extra data· 2024-03-04
97.39
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Face ReconstructiononAdience Age
Accuracy (5-fold)· uses extra data· 2024-03-04
69.43
best: 84.91 (ViT-hSeq)
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ReconstructiononLAGENDA
MAE· uses extra data· 2024-03-04
3.65
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ReconstructiononIMDB-Clean
Average mean absolute error· uses extra data· 2024-03-04
3.97
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ReconstructiononCACD
MAE· uses extra data· 2024-03-04
3.89
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ReconstructiononLAGENDA
Accuracy· uses extra data· 2024-03-04
97.99
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ReconstructiononFairFace
age-top1· uses extra data· 2024-03-04
62.28
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ReconstructiononFairFace
gender-top1· uses extra data· 2024-03-04
97.5
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ReconstructiononAdience Gender
Accuracy (5-fold)· uses extra data· 2024-03-04
97.39
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ReconstructiononAdience Age
Accuracy (5-fold)· uses extra data· 2024-03-04
69.43
best: 84.91 (ViT-hSeq)
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Age and Gender EstimationonLAGENDA gender
CS@5· 2024-03-04
74.48
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Age and Gender EstimationonLAGENDA age
CS@5· uses extra data· 2024-03-04
74.48
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Age and Gender EstimationonLAGENDA age
MAE· uses extra data· 2024-03-04
3.65
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Age EstimationonLAGENDA
MAE· uses extra data· 2024-03-04
3.65
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Age EstimationonIMDB-Clean
Average mean absolute error· uses extra data· 2024-03-04
3.97
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Age EstimationonCACD
MAE· uses extra data· 2024-03-04
3.89
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302

Music8 results

Facial Recognition and ModellingonLAGENDA
MAE· uses extra data· 2024-03-04
3.65
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Facial Recognition and ModellingonIMDB-Clean
Average mean absolute error· uses extra data· 2024-03-04
3.97
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Facial Recognition and ModellingonCACD
MAE· uses extra data· 2024-03-04
3.89
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Facial Recognition and ModellingonLAGENDA
Accuracy· uses extra data· 2024-03-04
97.99
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Facial Recognition and ModellingonFairFace
age-top1· uses extra data· 2024-03-04
62.28
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Facial Recognition and ModellingonFairFace
gender-top1· uses extra data· 2024-03-04
97.5
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Facial Recognition and ModellingonAdience Gender
Accuracy (5-fold)· uses extra data· 2024-03-04
97.39
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Facial Recognition and ModellingonAdience Age
Accuracy (5-fold)· uses extra data· 2024-03-04
69.43
best: 84.91 (ViT-hSeq)
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302

Methodology8 results

3DonLAGENDA
MAE· uses extra data· 2024-03-04
3.65
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3DonIMDB-Clean
Average mean absolute error· uses extra data· 2024-03-04
3.97
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3DonCACD
MAE· uses extra data· 2024-03-04
3.89
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3DonLAGENDA
Accuracy· uses extra data· 2024-03-04
97.99
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3DonFairFace
age-top1· uses extra data· 2024-03-04
62.28
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3DonFairFace
gender-top1· uses extra data· 2024-03-04
97.5
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3DonAdience Gender
Accuracy (5-fold)· uses extra data· 2024-03-04
97.39
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3DonAdience Age
Accuracy (5-fold)· uses extra data· 2024-03-04
69.43
best: 84.91 (ViT-hSeq)
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302

Medical8 results

3D Face ModellingonLAGENDA
MAE· uses extra data· 2024-03-04
3.65
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ModellingonIMDB-Clean
Average mean absolute error· uses extra data· 2024-03-04
3.97
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ModellingonCACD
MAE· uses extra data· 2024-03-04
3.89
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ModellingonLAGENDA
Accuracy· uses extra data· 2024-03-04
97.99
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ModellingonFairFace
age-top1· uses extra data· 2024-03-04
62.28
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ModellingonFairFace
gender-top1· uses extra data· 2024-03-04
97.5
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ModellingonAdience Gender
Accuracy (5-fold)· uses extra data· 2024-03-04
97.39
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
3D Face ModellingonAdience Age
Accuracy (5-fold)· uses extra data· 2024-03-04
69.43
best: 84.91 (ViT-hSeq)
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302

Natural Language Processing2 results

Age And Gender ClassificationonAdience Gender
Accuracy (5-fold)· uses extra data· 2024-03-04
97.39
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302
Age And Gender ClassificationonAdience Age
Accuracy (5-fold)· uses extra data· 2024-03-04
69.43
best: 84.91 (ViT-hSeq)
SOTA
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation arXiv:2403.02302