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attention-mechanisms

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This repository implements the paper "Revolutionizing Age, Gender, and Ethnicity Recognition with Multi-Modal Vision Transformers," using Vision Transformers (ViT) with CBAM, Coordinate Attention, and Self-Attention. Leveraging the "UTK-Face" dataset, it enhances detection accuracy for age, gender, and ethnicity.

  • Updated Jul 2, 2024
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Transformers, including the T5 and MarianMT, enabled effective understanding and generating complex programming codes. Consequently, they can help us in Data Security field. Let's see how!

  • Updated Jul 5, 2024
  • Jupyter Notebook

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