| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Social Debiasing | Fairface Out-of-Domain | MaxSkew (MS)0.094 | 32 | |
| Gender Classification | FairFace v1 (test) | Accuracy (Black)95.37 | 20 | |
| Gender Classification | FairFace (test) | Acc (Black, M)90.706 | 9 | |
| Debiasing | FAIRFACE Gender (test) | KL Divergence0.006 | 8 | |
| Debiasing | FAIRFACE Race (test) | KL Divergence0.069 | 8 | |
| Age classification | FairFace age | Accuracy (W)57.2 | 7 | |
| Classification | FairFace | Mean Accuracy37.2 | 6 | |
| Social Bias Evaluation | FairFace | MS0.101 | 6 | |
| Gender Classification | FairFace | Max/Min1.185 | 4 | |
| Fair Text-to-Image Generation | FairFace FAIR benchmark Multi tSA | FD (Disparity)0.108 | 4 | |
| Instruction-based Image Editing | FairFace | Edit Success4.65 | 3 | |
| Gender estimation | FairFace margin125 (val) | Gender Accuracy97.5 | 2 | |
| Age estimation | FairFace margin125 (val) | Age Accuracy62.28 | 2 | |
| Image Captioning | FAIRFACE (val) | Score (White)0.64 | 2 | |
| Gender Classification | FairFace (val) | Gender Accuracy95.73 | 2 | |
| Age Estimation | FairFace (val) | Accuracy61.07 | 2 | |
| Classification | FairFace (test) | Mean Accuracy- | 0 |