FG-NET
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Age Estimation | FG-NET | MAE2.16 | 30 | |
| Age Estimation | FG-NET (test) | MAE2.39 | 24 | |
| Face Identification | FG-NET (leave-one-out) | Rank-1 Accuracy95.91 | 17 | |
| Age Estimation | FG-NET (LOPO) | Average Error2 | 17 | |
| Facial Age Estimation | FG-NET (leave-one-out cross validation) | MAE3.85 | 16 | |
| Face Identification | FG-NET MegaFace Challenge 1 (MF1) Small Protocol | Rank-1 Identification Rate81.03 | 13 | |
| Face Identification | FG-NET MF1 (train) | Rank-1 Acc57.92 | 7 | |
| Face Recognition | FG-NET | Rank-1 Acc93.2 | 7 | |
| Face Identification | FG-NET (MF2 protocol) | Rank-1 Identification Rate60.01 | 6 | |
| Ordinal Regression | FG-NET | MAE0.35 | 5 | |
| Face Identification | FG-NET MF2 Large protocol | Rank-1 Identification Rate53.26 | 5 |
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