Machine learningMetric learning
Siamese Neural Network
Siamese 网络是一种深度架构，包含两个（或更多）相同的、权重共享的分支，它们将输入映射到一个嵌入空间，在这个空间中，相似的输入彼此靠近，不相似的输入则彼此远离。该网络由 Bromley、LeCun 及其同事于 1993 年首次提出，用于签名验证，后又由 Koch 等人（2015 年）在一次性图像识别任务中重新推广。它学习的是相似性度量而非固定的类别标签，因此非常适合用于验证、匹配和少样本学习任务。
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来源
- Bromley, J., Guyon, I., LeCun, Y., Säckinger, E., & Shah, R. (1993). Signature verification using a 'Siamese' time delay neural network. Advances in Neural Information Processing Systems, 6. link ↗
- Koch, G., Zemel, R., & Salakhutdinov, R. (2015). Siamese neural networks for one-shot image recognition. ICML Deep Learning Workshop. link ↗
如何引用本页
ScholarGate. (2026, June 2). Siamese Neural Network (Deep Metric Learning). ScholarGate. https://scholargate.app/zh/deep-learning/siamese-network
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