Multi-view metric learning based on KL-divergence for similarity measurement
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.01.062
Abstract: In the past decades, we have witnessed a surge of interests of learning distance metrics for various image processing tasks. However, facing with features from multiple views, most metric learning methods fail to integrate compatible… read more here.
Keywords: information; multiple views; view metric; metric learning ... See more keywords
A Multi-view Metric Learning Method for Few-shot Fine-grained Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175798
Abstract: Few-shot fine-grained image classification aims to solve the learning problem with few limited labeled examples. The existing methods use data augmentation to randomly transform the original examples to get new examples, and then use the… read more here.
Keywords: view; shot fine; view metric; classification ... See more keywords