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Domain Generalization via Adversarially Learned Novel Domains

IEEE Access, 2022
This study focuses on the domain generalization task, which aims to learn a model that generalizes to unseen domains by utilizing multiple training domains.
Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma   +3 more
doaj   +2 more sources

Domain generalization for voice-based cognitive impairment detection [PDF]

BMC Medical Informatics and Decision Making
Background Voice biomarkers hold potential for early cognitive disorder detection, but variations in recording conditions across different environments present challenges for accurate diagnosis using artificial intelligence (AI) models.
Minsoo Kim, Young Chul Youn, Yugwon Won, Hyunjoo Choi, YongSoo Shim, Nayoung Ryoo, Ho Tae Jeong, Gihyun Yun, Hunboc Lee, SangYun Kim   +9 more
doaj   +2 more sources

Domain Generalization for Language-Independent Automatic Speech Recognition [PDF]

Frontiers in Artificial Intelligence, 2022
A language-independent automatic speech recognizer (ASR) is one that can be used for phonetic transcription in languages other than the languages in which it was trained.
Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Shiyu Chang, Mark Hasegawa-Johnson   +6 more
doaj   +2 more sources

Fourier transform-based single domain generalization for crowd counting [PDF]

Scientific Reports
Accurate crowd counting is critical for numerous real-world applications. However, domain shift poses a significant barrier to deploying crowd counting models in practical scenarios due to the discrepancy between training and target domains.
Lei Song, Tong Li, Zhaoyu Cai, Jinliang Guo, Jingxi He, Junfeng Xie, Yun Zhang   +6 more
doaj   +2 more sources

ICRL: independent causality representation learning for domain generalization [PDF]

Scientific Reports
Domain generalization (DG) addresses the challenge of out-of-distribution (OOD) data; however, the reliance on statistical correlations during model development often introduces shortcut learning problems.
Liwen Xu, Yuxuan Shao
doaj   +2 more sources

DG-TTA: Out-of-Domain Medical Image Segmentation Through Augmentation, Descriptor-Driven Domain Generalization, and Test-Time Adaptation [PDF]

Sensors
Applying pre-trained medical deep learning segmentation models to out-of-domain images often yields predictions of insufficient quality. In this study, we propose using a robust generalizing descriptor, along with augmentation, to enable domain ...
Christian Weihsbach, Christian N. Kruse, Alexander Bigalke, Mattias P. Heinrich   +3 more
doaj   +2 more sources

MedicalCLIP: Anomaly-Detection Domain Generalization with Asymmetric Constraints [PDF]

Biomolecules
Medical data have unique specificity and professionalism, requiring substantial domain expertise for their annotation. Precise data annotation is essential for anomaly-detection tasks, making the training process complex. Domain generalization (DG) is an
Liujie Hua, Yueyi Luo, Qianqian Qi, Jun Long   +3 more
doaj   +2 more sources

Cross-Subject Motor Imagery Electroencephalogram Decoding with Domain Generalization [PDF]

Bioengineering
Decoding motor imagery (MI) electroencephalogram (EEG) signals in the brain–computer interface (BCI) can assist patients in accelerating motor function recovery.
Yanyan Zheng, Senxiang Wu, Jie Chen, Qiong Yao, Siyu Zheng   +4 more
doaj   +2 more sources

CAT: Class-aware adaptive-thresholding for robust semi-supervised domain generalization. [PDF]

PLoS ONE
Domain Generalization (DG) seeks to transfer knowledge from multiple source domains to unseen target domains, even in the presence of domain shifts. Achieving effective generalization typically requires a large and diverse set of labeled source data to ...
Sumaiya Zoha, Jeong-Gun Lee, Young-Woong Ko   +2 more
doaj   +2 more sources

A domain generalization network for imbalanced machinery fault diagnosis [PDF]

Scientific Reports
Traditional models for Imbalanced Fault Diagnosis (IFD) face challenges in practical applications due to domain shifts caused by varying working conditions and machinery.
Yu Guo, Guangshuo Ju, Jundong Zhang
doaj   +2 more sources