Deep learning via triplet networks was first introduced in (Hoffer and Ailon, 2015), and has since become a popular technique in metric learning (Zieba and Wang, 2017;Yao et al., 2016;Zhuang et al., 2016).
previous usages of triplet networks were based on supervised data and were applied mainly to computer vision applications such as face verification.