Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.
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SAC²-Net uses semantic anchoring soft alignment and complementary-consensus fusion to report SOTA or competitive results on five MER benchmarks.
citing papers explorer
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Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets
Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.
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SAC$^2$-Net: Semantic Anchoring and Complementary-Consensus Fusion for Multimodal Micro-Expression Recognition
SAC²-Net uses semantic anchoring soft alignment and complementary-consensus fusion to report SOTA or competitive results on five MER benchmarks.