Clothing Attribute Recognition On Clothing
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Label2Label | 92.87 | Label2Label: A Language Modeling Framework for Multi-Attribute Learning | |
| RAL_GNN | 92.39 | Efficient Relative Attribute Learning using Graph Neural Networks | |
| MG-CNN | 92.82 | Multi-task CNN Model for Attribute Prediction | - |
| S-CNN | 90.43 | Multi-task CNN Model for Attribute Prediction | - |
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