FairEnc reduces demographic biases in VLMs for glaucoma detection via LLM-generated synthetic text and dual-level visual debiasing while preserving diagnostic accuracy across datasets.
Learning fair classifiers with partially annotated group labels, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp
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FairEnc: A Fair Vision-Language Model with Fair Vision and Text Encoders for Glaucoma Detection
FairEnc reduces demographic biases in VLMs for glaucoma detection via LLM-generated synthetic text and dual-level visual debiasing while preserving diagnostic accuracy across datasets.