3 citations · 3 across the 2 of their papers we have counts for
3 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…
cs.CV2018
Progressive Neural Networks for Image Classification
Zhi Zhang, Guanghan Ning, Yigang Cen +4
The inference structures and computational complexity of existing deep neural networks, once trained, are fixed and remain the same for all test images. However, in practice, it is…