Probabilistic Principal Geodesic Deep Metric Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143129
Abstract: Similarity learning which is useful for the purpose of comparing various characteristics of images in the computer vision field has been often applied for deep metric learning (DML). Also, a lot of combinations of pairwise… read more here.
Keywords: metric learning; similarity; principal geodesic; probabilistic principal ... See more keywords
Deep Metric Learning With Manifold Class Variability Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3101944
Abstract: In deep metric learning (DML) techniques, understanding both the local and global characteristics of embedding space is essential. However, conventional DML techniques have two limitations as follows: First, Euclidean distance-based metrics never imply global information… read more here.
Keywords: metric learning; space; analysis; deep metric ... See more keywords