Search Results for author:
Found 3 papers, 1 papers with code
Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition
This paper focuses on the research of micro-expression recognition (MER) and proposes a flexible and reliable deep learning method called learning to rank onset-occurring-offset representations (LTR3O).
Deep Learning for Iris Recognition: A Review
This paper collects 120 relevant papers to summarize the development of iris recognition based on deep learning.
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
To achieve model personalization while maintaining generalization, in this paper, we propose a new approach, named PFL-MoE, which mixes outputs of the personalized model and global model via the MoE architecture.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
