Siamese Neural Networks: An Overview

By Davide Chicco. Artificial Neural Networks, 3rd Edition, 2021

623 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/95d1b7763d9359644bbc08268bf1f9f118b0a14d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Chengxi Zang
2. Fei Wang

In Computer Vision and Pattern Recognition

1. Fei Wang
2. Chengxi Zang
3. José M. F. Moura
4. Aliaksei Sandryhaila
5. Vassilis Kalofolias

Citations in the corpus

• SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records (2021, background): “The idea of ”contrastive” loss functions can date back to metric learning [28], triplet loss [26], Siamese neural networks [29], and the negative sampling loss of word2vec [30].”