SAR Target Recognition based on Model Transfer and Hinge Loss with Limited Data
Convolutional neural networks have made great achievements in field of optical image classification during recent years. However, for Synthetic Aperture Radar automatic […]
Deep ladder reconstruction-classification network for unsupervised domain adaptation
Unsupervised Domain Adaptation aims to learn a classifier for an unlabeled target domain by transferring knowledge from a labeled source domain. Most […]
Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to learn a classifier for the unlabeled target domain by leveraging knowledge from a labeled source domain […]
COVID-19 detection from Xray and CT scans using transfer learning
Since the novel coronavirus SARS-CoV-2 outbreak, intensive research has been conducted to find suitable tools for diagnosis and identifying infected people in […]
Informative Feature Disentanglement for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims at learning a classifier for an unlabeled target domain by transferring knowledge from a labeled source domain […]
Vision-Based Multi-Modal Framework for Action Recognition
Human activity recognition plays a central role in the development of intelligent systems for video surveillance, public security, health care and home […]
Deep Ladder-Suppression Network for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims at learning a classifier for an unlabeled target domain by transferring knowledge from a labeled source domain […]
Federated Machine Learning
The communication and networking field is hungry for machine learning decision-making solutions to replace the traditional model-driven approaches that proved to be […]
Unsupervised Cross-Database Micro-Expression Recognition Using Target-Adapted Least-Squares Regression
Over the past several years, the research of micro-expression recognition (MER) has become an active topic in affective computing and computer vision […]
Cross-Database Micro-Expression Recognition
Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problems in micro-expression analysis. CDMER is more challenging than the conventional […]