3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Contrastive Bayesian Analysis for Deep Metric Learning
Shichao Kan, Zhiquan He, Yigang Cen +3
Recent methods for deep metric learning have been focusing on designing different contrastive loss functions between positive and negative pairs of samples so that the learned feat…
cs.CV2022★ 3 cited
Coded Residual Transform for Generalizable Deep Metric Learning
Shichao Kan, Yixiong Liang, Min Li +3
A fundamental challenge in deep metric learning is the generalization capability of the feature embedding network model since the embedding network learned on training classes need…