LFWA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Facial Attribute Classification | LFWA (test) | Average Attribute Acc87.36 | 56 | |
| Face Attribute Recognition | LFWA | Accuracy87.72 | 26 | |
| Few-shot classification | LFWA Cross-Domain (meta-test) | Accuracy75.3 | 18 | |
| Attribute Prediction | LFWA v1.0 (test) | 5 o'clock Shadow84 | 11 | |
| Gender Recognition | LFWA (test) | Accuracy94 | 9 | |
| Attribute Prediction | LFWA (test) | Classification Error Rate12.87 | 9 | |
| Facial Attribute Classification (5 o'clock Shadow) | LFWA | Accuracy (PM)71.09 | 5 | |
| Facial Attribute Classification (Black Hair) | LFWA | Accuracy (PM)91.92 | 5 | |
| Facial Attribute Classification (Big Nose) | LFWA | Accuracy (PM)83.21 | 5 | |
| Intersectional Fairness Evaluation | LFWA | Mean OPE (%)6.25 | 3 | |
| Multi-label Attribute Recognition | LFWA | Error Rate12.49 | 3 | |
| Attribute Classification | LFWA | DoB Gender Error3.67 | 2 |
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