Ranked List Loss for Deep Metric Learning

• Main Authors: Wang, Xinshao, Hua, Yang, Kodirov, Elyor, Robertson, Neil M.
• Format: Report
• Language: unknown
• Published: arXiv 2019
• Subjects: Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; The Gallery; Triplets; DML
• Online Access: https://dx.doi.org/10.48550/arxiv.1903.03238; https://arxiv.org/abs/1903.03238

The objective of deep metric learning (DML) is to learn embeddings that can capture semantic similarity and dissimilarity information among data points. Existing pairwise or tripletwise loss functions used in DML are known to suffer from slow convergence due to a large proportion of trivial pairs or...