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Attention is a technique utilized to enhance discriminative features (channel attention) and significant regions of interest (spatial attention) within deep learning networks. Attention mechanisms have found extensive applications in areas such as fine-grained image recognition and weakly-supervised learning, demonstrating their remarkable effectiveness.

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Attention and Transformer Networks

  • 章节

  • 发表日期：

    2026年

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  • Yen-Wei Chen,
  • Lanfen Lin,
  • Rahul Kumar Jain

摘要

Attention is a technique utilized to enhance discriminative features (channel attention) and significant regions of interest (spatial attention) within deep learning networks. Attention mechanisms have found extensive applications in areas such as fine-grained image recognition and weakly-supervised learning, demonstrating their remarkable effectiveness.