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Guangdong University of Technology
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Boundary-Minority Free-Energy Adaptive Screening (BMFA) slashes underestimation errors in Vision Transformers, revealing hidden contributions that traditional methods miss.
Personalized text-to-image generation can achieve unprecedented quality by combining stage-aware adaptation with intelligent candidate selection, revealing a nuanced trade-off between identity consistency and representation diversity.
