Clothing Attribute Recognition 벤치마크
Clothing Attribute Recognition on Clothing Attributes Dataset
Accuracy
- 2016-01-04 — MG-CNN: Accuracy 92.82
- 2022-07-18 — Label2Label: Accuracy 92.87
| Rank | Model | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | Label2Label | 92.87 | Label2Label: A Language Modeling Framework for Multi-Attribute Learning | li-wanhua/label2label | 2022 |
| 2 | MG-CNN | 92.82 | Multi-task CNN Model for Attribute Prediction | 2016 | |
| 3 | RAL_GNN | 92.39 | Efficient Relative Attribute Learning using Graph Neural Networks | zihangm/RAL_GNN | 2018 |
| 4 | S-CNN | 90.43 | Multi-task CNN Model for Attribute Prediction | 2016 |