Image Retrieval on UTKFace (test)
7.8WhiteMOPR
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| MOPRGender=Male, Oracle=Linear Regression, Optimization=MPR2024.07 | 7.8 | 10.2 | 13 | 11.8 | 7.2 | 50 | |
| MOPRGender=Female, Oracle=Linear Regression, Optimization=MPR2024.07 | 12.2 | 9.8 | 7 | 8.2 | 12.8 | 50 | |
| CLIP-ClipGender=Female, Oracle=Linear Regression, Optimization=MPR2024.07 | 15.2 | 7 | 7.4 | 6.6 | 2.8 | 39 | |
| MMRGender=Female, Oracle=Linear Regression, Optimization=MPR2024.07 | 16.2 | 7.6 | 5 | 4 | 2.6 | 35.4 | |
| Top-KGender=Female, Oracle=Linear Regression, Optimization=MPR2024.07 | 17.2 | 6.6 | 4 | 2.8 | 1.6 | 32.2 | |
| PBMGender=Female, Oracle=Linear Regression, Optimization=MPR2024.07 | 18.6 | 8.4 | 5.6 | 7.2 | 1.6 | 41.4 | |
| DebiasCLIPGender=Female, Oracle=Linear Regression, Optimization=MPR2024.07 | 19.4 | 9.4 | 8.4 | 10 | 4 | 51.2 | |
| PBMGender=Male, Oracle=Linear Regression, Optimization=MPR2024.07 | 19.8 | 13 | 9.4 | 15.2 | 1.2 | 58.6 | |
| MOPRGender=Sum, Oracle=Linear Regression, Optimization=MPR2024.07 | 20 | 20 | 20 | 20 | 20 | 100 | |
| DebiasCLIPGender=Male, Oracle=Linear Regression, Optimization=MPR2024.07 | 20.4 | 8.2 | 5.4 | 11 | 3.8 | 48.8 | |
| Top-KGender=Male, Oracle=Linear Regression, Optimization=MPR2024.07 | 21.2 | 13.2 | 10.8 | 21.2 | 1.4 | 67.8 | |
| CLIP-ClipGender=Male, Oracle=Linear Regression, Optimization=MPR2024.07 | 23.2 | 11 | 10.8 | 14.2 | 1.8 | 61 | |
| MMRGender=Male, Oracle=Linear Regression, Optimization=MPR2024.07 | 28.8 | 11 | 10.2 | 10.8 | 3.8 | 64.6 | |
| Top-KGender=Sum, Oracle=Linear Regression, Optimization=MPR2024.07 | 38.4 | 19.8 | 14.8 | 24 | 3 | 100 | |
| CLIP-ClipGender=Sum, Oracle=Linear Regression, Optimization=MPR2024.07 | 38.4 | 18 | 18.2 | 20.8 | 4.6 | 100 | |
| PBMGender=Sum, Oracle=Linear Regression, Optimization=MPR2024.07 | 38.4 | 21.4 | 15 | 22.4 | 2.8 | 100 | |
| DebiasCLIPGender=Sum, Oracle=Linear Regression, Optimization=MPR2024.07 | 39.8 | 17.6 | 13.8 | 21 | 7.8 | 100 | |
| MMRGender=Sum, Oracle=Linear Regression, Optimization=MPR2024.07 | 45 | 18.6 | 15.2 | 14.8 | 6.4 | 100 |