| Paper | Code | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|
| UniHCP: A Unified Model for Human-Centric Perceptions | ✓ Link | 88.78% | UniHCP (FT) | 2023-03-06 |
| C2T-Net: Channel-Aware Cross-Fused Transformer-Style Networks for Pedestrian Attribute Recognition | ✓ Link | 88.20% | C2T-Net | 2023-12-26 |
| Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization | ✓ Link | 79.52% | Attribute-Specific Localization | 2019-10-10 |
| Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method | ✓ Link | 79.52% | ALM[tang2019Improving] (ICCV19) | 2020-05-25 |
| Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method | ✓ Link | 79.14% | strongbaseline | 2020-05-25 |
| HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis | ✓ Link | 76.13% | HP-net | 2017-09-28 |