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ResearchFormerly WizWand

Social Debiasing on FACET Out-of-Domain

0.417MSBiased-prompts
0.402080.502790.60350.70421Nov 19, 2024
Updated 8mo ago

Evaluation results

MethodLinks
Biased-promptsBackbone=ViT-B/32, Biases=Gender2024.110.4170.164
CLIP-clipBackbone=ViT-H/14, Biases=Gender2024.110.450.191
OursBackbone=ViT-H/14, Biases=Gender2024.110.4550.217
OursBackbone=ViT-B/16, Biases=Gender2024.110.4560.181
Biased-promptsBackbone=ViT-H/14, Biases=Gender2024.110.4560.217
CLIP-clipBackbone=ViT-B/16, Biases=Gender2024.110.4590.19
Biased-promptsBackbone=ViT-B/16, Biases=Gender2024.110.460.215
CLIP-clipBackbone=ViT-L/14, Biases=Gender2024.110.4650.223
OursBackbone=ViT-B/32, Biases=Gender2024.110.4690.212
Biased-promptsBackbone=ViT-L/14, Biases=Gender2024.110.4770.228
Original CLIPBackbone=ViT-B/16, Biases=Gender2024.110.4780.215
Original CLIPBackbone=ViT-H/14, Biases=Gender2024.110.4830.25
OursBackbone=ViT-L/14, Biases=Gender2024.110.4840.253
Original CLIPBackbone=ViT-B/32, Biases=Gender2024.110.4850.225
Original CLIPBackbone=ViT-L/14, Biases=Gender2024.110.4870.257
CLIP-clipBackbone=ViT-B/32, Biases=Gender2024.110.50.24
Biased-promptsBackbone=ViT-B/16, Biases=Age2024.110.6350.355
Biased-promptsBackbone=ViT-B/32, Biases=Age2024.110.6630.366
Biased-promptsBackbone=ViT-L/14, Biases=Age2024.110.7270.393
Original CLIPBackbone=ViT-B/16, Biases=Age2024.110.7440.367
CLIP-clipBackbone=ViT-B/16, Biases=Age2024.110.7450.364
OursBackbone=ViT-B/16, Biases=Age2024.110.7460.365
Original CLIPBackbone=ViT-L/14, Biases=Age2024.110.7490.379
OursBackbone=ViT-B/32, Biases=Age2024.110.7510.37
Original CLIPBackbone=ViT-B/32, Biases=Age2024.110.7520.388
CLIP-clipBackbone=ViT-L/14, Biases=Age2024.110.7530.386
CLIP-clipBackbone=ViT-B/32, Biases=Age2024.110.7540.397
OursBackbone=ViT-L/14, Biases=Age2024.110.7540.362
Original CLIPBackbone=ViT-H/14, Biases=Age2024.110.7640.39
OursBackbone=ViT-H/14, Biases=Age2024.110.7660.399
CLIP-clipBackbone=ViT-H/14, Biases=Age2024.110.7690.385
Biased-promptsBackbone=ViT-H/14, Biases=Age2024.110.790.433