Results 11 to 20 of about 2,778,255 (309)

Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond [PDF]

IEEE Journal on Selected Areas in Communications, 2021
As the standardization of 5G solidifies, researchers are speculating what 6G will be. The integration of sensing functionality is emerging as a key feature of the 6G Radio Access Network (RAN), allowing for the exploitation of dense cell infrastructures ...
Fan Liu, Yuanhao Cui, C. Masouros, Jie Xu, T. Han, Yonina C. Eldar, S. Buzzi   +6 more
semanticscholar   +1 more source

Large Dual Encoders Are Generalizable Retrievers [PDF]

Conference on Empirical Methods in Natural Language Processing, 2021
It has been shown that dual encoders trained on one domain often fail to generalize to other domains for retrieval tasks. One widespread belief is that the bottleneck layer of a dual encoder, where the final score is simply a dot-product between a query ...
Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Abrego, Ji Ma, Vincent Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang   +10 more
semanticscholar   +1 more source

DaViT: Dual Attention Vision Transformers [PDF]

European Conference on Computer Vision, 2022
In this work, we introduce Dual Attention Vision Transformers (DaViT), a simple yet effective vision transformer architecture that is able to capture global context while maintaining computational efficiency.
Mingyu Ding, Bin Xiao, N. Codella, P. Luo, Jingdong Wang, Lu Yuan   +5 more
semanticscholar   +1 more source

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation [PDF]

IEEE Transactions on Instrumentation and Measurement, 2021
Automatic medical image segmentation has made great progress owing to powerful deep representation learning. Inspired by the success of self-attention mechanism in transformer, considerable efforts are devoted to designing the robust variants of the ...
Ailiang Lin, Bingzhi Chen, Jiayu Xu, Zheng Zhang, Guangming Lu, David Zhang   +5 more
semanticscholar   +1 more source

Dual Attention Network for Scene Segmentation [PDF]

Computer Vision and Pattern Recognition, 2018
In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the self-attention mechanism. Unlike previous works that capture contexts by multi-scale features fusion, we propose a Dual Attention Networks (DANet)
J. Fu, J. Liu, Haijie Tian, Zhiwei Fang, Hanqing Lu   +4 more
semanticscholar   +1 more source

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [PDF]

IEEE International Conference on Computer Vision, 2017
Conditional Generative Adversarial Networks (GANs) for cross-domain image-to-image translation have made much progress recently [7, 8, 21, 12, 4, 18]. Depending on the task complexity, thousands to millions of labeled image pairs are needed to train a ...
Zili Yi, Hao Zhang, P. Tan, Minglun Gong
semanticscholar   +1 more source

Semi-supervised Medical Image Segmentation through Dual-task Consistency [PDF]

AAAI Conference on Artificial Intelligence, 2020
Deep learning-based semi-supervised learning (SSL) algorithms have led to promising results in medical images segmentation and can alleviate doctors' expensive annotations by leveraging unlabeled data.
Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang   +5 more
semanticscholar   +1 more source

An alternative ready-to-use electrochemical immunosensor for point-of-care COVID-19 diagnosis using graphene screen-printed electrodes coupled with a 3D-printed portable potentiostat

Talanta Open, 2022
A severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a cause of worldwide Coronavirus 2019 (COVID-19) disease pandemic. It is thus important to develop ultra-sensitive, rapid and easy-to-use methods for the identification of COVID-19 ...
Vitsarut Primpray, Wichayaporn Kamsong, Saithip Pakapongpan, Kanchanok Phochakum, Arissanan Kaewchaem, Assawapong Sappat, Anurat Wisitsoraat, Tanom Lomas, Adisorn Tuantranont, Chanpen Karuwan   +9 more
doaj   +1 more source

Dual oxidases [PDF]

Philosophical Transactions of the Royal Society B: Biological Sciences, 2005
Reactive oxygen species (ROS) have an important role in various physiological processes including host defence, mitogenesis, hormone biosynthesis, apoptosis and fertilization. Currently, the most characterized ROS-producing system operates in phagocytic cells, where ROS generated during phagocytosis act in host defence.
Agnes, Donkó, Zalán, Péterfi, Adrienn, Sum, Thomas, Leto, Miklós, Geiszt   +4 more
openaire   +2 more sources

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction [PDF]

International Joint Conference on Artificial Intelligence, 2017
The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based upon its previous values as well as the current and past values of multiple driving (exogenous) series, has been studied for decades. Despite the
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, G. Cottrell   +5 more
semanticscholar   +1 more source