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SotA/Computer Vision/Face Reconstruction/Adience Age

Face Reconstruction on Adience Age

Metric: Accuracy (5-fold) (higher is better)

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#Model↕Accuracy (5-fold)▼Extra DataPaperDate↕Code
1ViT-hSeq84.91NoA Hybrid Transformer-Sequencer approach for Age ...2024-03-19-
2MiVOLO-V269.43YesBeyond Specialization: Assessing the Capabilitie...2024-03-04Code
3MiVOLO-D168.69YesMiVOLO: Multi-input Transformer for Age and Gend...2023-07-10Code
4AL-ResNets-34 + IMDB-WIKI67.47YesFine-Grained Age Estimation in the wild with Att...2018-05-26-
5R-SAAFc2 +IMDB-WIKI67.3Yes---
6RoR-34 + IMDB-WIKI66.74YesAge Group and Gender Estimation in the Wild with...2017-10-09-
7MWR62.6NoMoving Window Regression: A Novel Approach to Or...2022-03-24Code
8UNIORD-ResNet-101 (single crop, pytorch)61NoDeep Ordinal Regression using Optimal Transport ...2020-11-15-
9RetinaFace + ArcFace + MLP + IC + Skip connections60.86YesGeneralizing MLPs With Dropouts, Batch Normaliza...2021-08-18Code
10CPG (single crop, pytorch)57.66YesCompacting, Picking and Growing for Unforgetting...2019-10-15Code
11PAENet (single crop, tensorflow)57.3Yes--Code
12MegaAge56.01YesQuantifying Facial Age by Posterior of Age Compa...2017-08-31Code
13Levi_Hassner CNN (over-sample, caffe)50.7No--Code
14Levi_Hassner CNN (single crop, caffe)49.5No--Code
15LMTCNN-2-1 (single crop, tensorflow)44.26NoJoint Estimation of Age and Gender from Unconstr...2018-06-06Code
16Levi_Hassner CNN (single crop, tensorflow)44.14No--Code