Stereotype Query Debiasing on CELEBA
0.014KL DivergenceBEND-VLM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BEND-VLMBackbone=CLIP-VIT-B-P16, Attribute=Gender2024.11 | 0.014 | 0.139 | |
| BEND-VLMBackbone=CLIP-VIT-L-P14, Attribute=Gender2024.11 | 0.026 | 0.217 | |
| Orth-Cal.Backbone=CLIP-VIT-L-P14, Attribute=Gender2024.11 | 0.041 | 0.223 | |
| Orth-Proj.Backbone=CLIP-VIT-L-P14, Attribute=Gender2024.11 | 0.059 | 0.291 | |
| Orth-Proj.Backbone=CLIP-VIT-B-P16, Attribute=Gender2024.11 | 0.106 | 0.284 | |
| Orth-Cal.Backbone=CLIP-VIT-B-P16, Attribute=Gender2024.11 | 0.133 | 0.296 | |
| DebiasCLIPBackbone=CLIP-VIT-B-P16, Attribute=Gender2024.11 | 0.322 | 0.637 | |
| Baseline CLIPBackbone=CLIP-VIT-L-P14, Attribute=Gender2024.11 | 0.335 | 0.702 | |
| Baseline CLIPBackbone=CLIP-VIT-B-P16, Attribute=Gender2024.11 | 0.436 | 0.749 |