| Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation | ✓ Link | 97.39 | MiVOLO-V2 | 2024-03-04 |
| A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images | | 96.56 | ViT-hSeq | 2024-03-19 |
| MiVOLO: Multi-input Transformer for Age and Gender Estimation | ✓ Link | 96.51 | MiVOLO-D1 | 2023-07-10 |
| Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections | ✓ Link | 90.66 | RetinaFace + ArcFace + MLP + Skip connections | 2021-08-18 |
| Compacting, Picking and Growing for Unforgetting Continual Learning | ✓ Link | 89.66 | CPG (single crop, pytorch) | 2019-10-15 |
| Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning | ✓ Link | 89.08 | PAENet (single crop, tensorflow) | 2019-06-10 |
| Age and Gender Classification using Convolutional Neural Networks | ✓ Link | 86.8 | Levi_Hassner CNN ( over-sample, caffe) | 2015-10-26 |
| Age and Gender Classification using Convolutional Neural Networks | ✓ Link | 85.9 | Levi_Hassner CNN (single crop, caffe) | 2015-10-26 |
| Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications | ✓ Link | 85.16 | LMTCNN-2-1 (single crop, tensorflow) | 2018-06-06 |
| Age and Gender Classification using Convolutional Neural Networks | ✓ Link | 82.52 | Levi_Hassner CNN (single crop, tensorflow) | 2015-10-26 |