Facial Attribute Classification On Lfwa
평가 지표
Error Rate
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Error Rate | Paper Title | Repository |
|---|---|---|---|
| MCNN-AUX | 13.69 | Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification | - |
| SSP + SSG | 12.87 | Improving Facial Attribute Prediction using Semantic Segmentation | - |
| LNets+ANet | 16.15 | Deep Learning Face Attributes in the Wild | - |
| DMTL | 13.85 | Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach | - |
| SSPL | 13.47 | Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data | - |
| PANDA | 18.97 | PANDA: Pose Aligned Networks for Deep Attribute Modeling | - |
| Label2Label | 12.49 | Label2Label: A Language Modeling Framework for Multi-Attribute Learning | - |
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