Results 41 to 50 of about 12,484 (262)

Domain‐specific feature recalibration and alignment for multi‐source unsupervised domain adaptation

IET Computer Vision, 2023
Traditional unsupervised domain adaptation (UDA) usually assumes that the source domain has labels and the target domain has no labels. In a real environment, labelled source domain data usually comes from multiple different distributions. To handle this
Mengzhu Wang, Dingyao Chen, Fangzhou Tan, Tianyi Liang, Long Lan, Xiang Zhang, Zhigang Luo   +6 more
doaj   +1 more source

Dual adversarial models with cross-coordination consistency constraint for domain adaption in brain tumor segmentation

Frontiers in Neuroscience, 2023
The brain tumor segmentation task with different domains remains a major challenge because tumors of different grades and severities may show different distributions, limiting the ability of a single segmentation model to label such tumors.
Chuanbo Qin, Wanying Li, Bin Zheng, Junying Zeng, Shufen Liang, Xiuping Zhang, Wenguang Zhang   +6 more
doaj   +1 more source

Unsupervised adaptation of PLDA models for broadcast diarization

EURASIP Journal on Audio, Speech, and Music Processing, 2019
We present a novel model adaptation approach to deal with data variability for speaker diarization in a broadcast environment. Expensive human annotated data can be used to mitigate the domain mismatch by means of supervised model adaptation approaches ...
Ignacio Viñals, Alfonso Ortega, Jesús Villalba, Antonio Miguel, Eduardo Lleida   +4 more
doaj   +1 more source

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation

IEEE Access, 2019
Deep convolutional networks have demonstrated state-of-the-art performance on various challenging medical image processing tasks. Leveraging images from different modalities for the same analysis task holds large clinical benefits.
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng   +6 more
doaj   +1 more source

Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Geographic variability of the classes of interest, differences in sensor characteristics and changes in atmospheric conditions during image acquisition, among other factors, make it challenging to use a pre-trained deep learning classifier on new remote ...
M. X. Ortega Adarme, M. X. Ortega Adarme, G. A. O. P. da Costa, P. J. Soto Vega, C. Heipke, R. Q. Feitosa   +5 more
doaj   +1 more source

EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring

IEEE Access, 2022
In this paper, we present an end-to-end unsupervised domain adaptation approach to image deblurring. This work focuses on learning and generalizing the complex latent space of the source domain and transferring the extracted information to the unlabeled ...
Ibsa Jalata, Naga Venkata Sai Raviteja Chappa, Thanh-Dat Truong, Pierce Helton, Chase Rainwater, Khoa Luu   +5 more
doaj   +1 more source

Innate Immune Reprogramming Mediated by Endogenous Retroelement Dysregulation Drives Multiple Sclerosis Progression

Annals of Clinical and Translational Neurology, EarlyView.
Epigenetic reprogramming in hematopoietic stem and progenitor cells (HSPCs) and downstream myeloid cells, mediated by H3.3 downregulation and endogenous retroelement (ERE) overexpression, contributes to the progression of multiple sclerosis (MS). ABSTRACT Background Skewed myelopoiesis in the bone marrow has been identified as a key driver of multiple ...
Li‐Mei Xiao, Qiu‐Ping Zhao, Run‐Yun Li, Wei Chen, Huan‐Huan Song, Wan‐Jin Chen, Ying Fu   +6 more
wiley   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical applications, challenges, and future directions

Arthritis Care &Research, Accepted Article.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Unsupervised Transductive Domain Adaptation

, 2016
Supervised learning with large scale labeled datasets and deep layered models has made a paradigm shift in diverse areas in learning and recognition. However, this approach still suffers generalization issues under the presence of a domain shift between the training and the test data distribution.
Sener, Ozan, Song, Hyun Oh, Saxena, Ashutosh, Savarese, Silvio   +3 more
openaire   +2 more sources

Packaging of Macroscopic Material Payloads: Needs, Challenges, Concepts, and Future Directions

Advanced Engineering Materials, EarlyView.
This review introduces a unified framework that decomposes any macroscopic packaging system into the payload, packaging material, and packaging strategy and combines them into a conceptual packaging equation: packaging strategy = payload + packaging material.
Venkata S. R. Jampani, Manos Anyfantakis
wiley   +1 more source