Domain Generalization via Adversarially Learned Novel Domains
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3209815
Abstract: This study focuses on the domain generalization task, which aims to learn a model that generalizes to unseen domains by utilizing multiple training domains. More specifically, we follow the idea of adversarial data augmentation, which… read more here.
Keywords: training; domain generalization; novel domains; augmentation ... See more keywords
Deep-Learning-Based Lithium Battery Defect Detection via Cross-Domain Generalization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3408718
Abstract: This research addresses the critical challenge of classifying surface defects in lithium electronic components, crucial for ensuring the reliability and safety of lithium batteries. With a scarcity of specific defect data, we introduce an innovative… read more here.
Keywords: lithium; domain generalization; cross domain;
Enhancing Domain Generalization Performance in Low-Resource Setting via External Dataset and Pseudo Labeling With Sentence-BERT
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3540090
Abstract: Recent studies on data augmentation have focused on improving model performance with limited training data within a specific dataset. While the goal is to enhance performance on the dataset itself, this approach also addresses broader… read more here.
Keywords: dataset; enhancing domain; performance; generalization ... See more keywords
Domain Generalization and Domain Adaptation Approaches for Face Anti-Spoofing: A Survey
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3592034
Abstract: Face Anti-Spoofing (FAS), also referred to as Face Liveness, has emerged as a rapidly evolving field of research in Computer Vision. Closely tied to Face Recognition, its primary objective is to authenticate an identity by… read more here.
Keywords: domain adaptation; domain generalization; generalization domain; domain ... See more keywords
FedDGKA: Federated Domain Generalization using Knowledge Alignment
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3635473
Abstract: Domain Generalization (DG) presents a significant challenge where models trained on multiple source domains must effectively generalize to unseen target domains. Federated Domain Generalization (FDG) synergistically combines Federated Learning (FL) and Domain Generalization methodologies, enabling… read more here.
Keywords: knowledge; feddgka; federated domain; generalization ... See more keywords
Applications of Domain Generalization to Machine Fault Diagnosis: A Survey
Sign Up to like & getrecommendations! Published in 2025 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2025.125120
Abstract: In actual industrial scenarios, the variation of operating conditions, the existence of data noise, and failure of measurement equipment will inevitably affect the distribution of perceptive data. Deep learning-based fault diagnosis algorithms strongly rely on… read more here.
Keywords: diagnosis; domain generalization; fault diagnosis; applications domain ... See more keywords
Bilateral Proxy Federated Domain Generalization for Privacy-Preserving Medical Image Diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3456440
Abstract: Contemporary domain generalization methods have demonstrated effectiveness in aiding the generalized diagnosis of medical images with multi-source data by joint optimization. However, the centralized training paradigm employed by these approaches becomes infeasible when data are… read more here.
Keywords: diagnosis; privacy; medical image; image diagnosis ... See more keywords
Federated Learning for IoT Devices With Domain Generalization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3234977
Abstract: Federated learning (FL) is a distributed machine learning (ML) technique that allows numerous Internet of Things (IoT) devices to jointly train an ML model using a centralized server for help. Local data never leaves each… read more here.
Keywords: federated learning; iot devices; domain generalization; local data ... See more keywords
Unsupervised Contrastive Learning-Based Single Domain Generalization Method for Intelligent Bearing Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3507817
Abstract: In the field of fault diagnosis (FD), an increasing number of domain generalization (DG) methods are being employed to address domain shift issues. The vast majority of these methods focus on learning domain-invariant features from… read more here.
Keywords: target domain; domain samples; fault diagnosis; domain generalization ... See more keywords
Noninvasive Glucose Prediction System Enhanced by Mixed Linear Models and Meta-Forests for Domain Generalization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3542385
Abstract: In this study, we present a noninvasive glucose prediction system that integrates near-infrared (NIR) spectroscopy and millimeter-wave (mm-wave) sensing. We employ a mixed linear model (MixedLM) to analyze the association between mm-wave frequency ${S}_{{21}}$ parameters… read more here.
Keywords: glucose prediction; noninvasive glucose; prediction system; domain generalization ... See more keywords
A Diverse Large-Scale Building Dataset and a Novel Plug-and-Play Domain Generalization Method for Building Extraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3268176
Abstract: In this article, we introduce a new building dataset and propose a novel domain generalization method to facilitate the development of building extraction from high-resolution remote sensing images. The problem with the current building datasets… read more here.
Keywords: building dataset; domain generalization; building; building extraction ... See more keywords