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of 2 877
pro vyhledávání: '"Sumbul, AT"'
Autor:
Clasen, Kai Norman, Hackel, Leonard, Burgert, Tom, Sumbul, Gencer, Demir, Begüm, Markl, Volker
This paper presents refined BigEarthNet (reBEN) that is a large-scale, multi-modal remote sensing dataset constructed to support deep learning (DL) studies for remote sensing image analysis. The reBEN dataset consists of 549,488 pairs of Sentinel-1 a
Externí odkaz:
http://arxiv.org/abs/2407.03653
Deep metric learning (DML) has shown to be effective for content-based image retrieval (CBIR) in remote sensing (RS). Most of DML methods for CBIR rely on a high number of annotated images to accurately learn model parameters of deep neural networks
Externí odkaz:
http://arxiv.org/abs/2406.10107
Self-supervised learning through masked autoencoders (MAEs) has recently attracted great attention for remote sensing (RS) image representation learning, and thus embodies a significant potential for content-based image retrieval (CBIR) from ever-gro
Externí odkaz:
http://arxiv.org/abs/2401.07782
Federated learning (FL) enables the collaboration of multiple deep learning models to learn from decentralized data archives (i.e., clients) without accessing data on clients. Although FL offers ample opportunities in knowledge discovery from distrib
Externí odkaz:
http://arxiv.org/abs/2311.06141
Autor:
James Truslow, Angela Spillane, Huiming Lin, Katherine Cyr, Adeeti Ullal, Edith Arnold, Ron Huang, Laura Rhodes, Jennifer Block, Jamie Stark, James Kretlow, Alexis L. Beatty, Andreas Werdich, Deepali Bankar, Matt Bianchi, Ian Shapiro, Jaime Villalpando, Sharon Ravindran, Irida Mance, Adam Phillips, John Earl, Rahul C. Deo, Sumbul A. Desai, Calum A. MacRae
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Physical activity or structured exercise is beneficial in a wide range of circumstances. Nevertheless, individual-level data on differential responses to various types of activity are not yet sufficient in scale, duration or level of annotat
Externí odkaz:
https://doaj.org/article/c192414062ae4c2c91f292e042f17665
Publikováno v:
Gut Pathogens, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Background Enteropathogenic E. coli (EPEC) causes acute infantile diarrhea accounting for significant morbidity and mortality in developing countries. EPEC uses a type three secretion system to translocate more than twenty effectors into the
Externí odkaz:
https://doaj.org/article/748d46565f9c4ef286732628d8212fdf
Deep metric learning (DML) based methods have been found very effective for content-based image retrieval (CBIR) in remote sensing (RS). For accurately learning the model parameters of deep neural networks, most of the DML methods require a high numb
Externí odkaz:
http://arxiv.org/abs/2306.11605
Autor:
Sumbul, Gencer, Demir, Begüm
Due to the publicly available thematic maps and crowd-sourced data, remote sensing (RS) image annotations can be gathered at zero cost for training deep neural networks (DNNs). However, such annotation sources may increase the risk of including noisy
Externí odkaz:
http://arxiv.org/abs/2306.08575
The development of federated learning (FL) methods, which aim to learn from distributed databases (i.e., clients) without accessing data on clients, has recently attracted great attention. Most of these methods assume that the clients are associated
Externí odkaz:
http://arxiv.org/abs/2306.00792
Autor:
Sumbul, Gencer, Demir, Begüm
The development of deep learning based image representation learning (IRL) methods has attracted great attention for various image understanding problems. Most of these methods require the availability of a high quantity and quality of annotated trai
Externí odkaz:
http://arxiv.org/abs/2212.01261