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cs.CV2025
Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models
Muna Numan Said, Aarib Zaidi, Rabia Usman +5
The transformative potential of text-to-image (T2I) models hinges on their ability to synthesize culturally diverse, photorealistic images from textual prompts. However, these mode…
cs.CV2024
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models
Kaylee Chhua, Zhoujinyi Wen, Vedant Hathalia +2
This study addresses the racial biases in facial expression recognition (FER) systems within Large Multimodal Foundation Models (LMFMs). Despite advances in deep learning and the a…