Mingda Wang

Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning

"Deep metric learning (DML) attempts to learn a representation model as well as a metric function with a limited generalization gap, so that the model trained on finite known data can achieve similitude performance on infinite unseen data. While considerable efforts have been made to bound the gener…