Results 11 to 20 of about 6,390,692 (375)

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

open access: yesIEEE 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   +6 more
semanticscholar   +1 more source

Large Dual Encoders Are Generalizable Retrievers [PDF]

open access: yesConference 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   +10 more
semanticscholar   +1 more source

DaViT: Dual Attention Vision Transformers [PDF]

open access: yesEuropean 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   +5 more
semanticscholar   +1 more source

Dual subtractions [PDF]

open access: yesJournal of High Energy Physics, 2021
Abstract We propose a novel local subtraction scheme for the computation of Next-to-Leading Order contributions to theoretical predictions for scattering processes in perturbative Quantum Field Theory. With respect to well known schemes proposed since many years that build upon the analysis of the real radiation matrix elements ...
Prisco, Renato Maria   +1 more
openaire   +5 more sources

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

open access: yesIEEE 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   +5 more
semanticscholar   +1 more source

Dual processes, dual virtues [PDF]

open access: yesPhilosophical Studies, 2021
AbstractI argue that virtue reliabilism and virtue responsibilism are complementary. They do not give competing accounts of epistemic virtue. Rather they explain the excellent functioning of different parts of our cognitive apparatus. Reliabilist virtue designates the excellent functioning of fast and context-specific Type 1 cognitive processes, while ...
openaire   +3 more sources

Dual Attention Network for Scene Segmentation [PDF]

open access: yesComputer 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   +4 more
semanticscholar   +1 more source

Dual quaternions and dual quaternionic curves [PDF]

open access: yesFilomat, 2019
After a brief review of the different types of quaternions, we develop a new perspective for dual quaternions with dividing two parts. Due to this new perspective, we will define the isotropic and nonisotropic dual quaternions. Then we will also give the basic algebraic concepts about the dual quaternions. Moreover, we define isotropic dual
Dagdeviren, Ali, Yuce, Salim
openaire   +5 more sources

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

open access: yesAAAI 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   +5 more
semanticscholar   +1 more source

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

open access: yesIEEE 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

Home - About - Disclaimer - Privacy