Results 31 to 40 of about 10,948,776 (338)

DA-DETR: Domain Adaptive Detection Transformer with Information Fusion [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
The recent detection transformer (DETR) simplifies the object detection pipeline by removing hand-crafted designs and hyperparameters as employed in conventional two-stage object detectors.
Jingyi Zhang   +5 more
semanticscholar   +1 more source

Serial GANs: A Feature-Preserving Heterogeneous Remote Sensing Image Transformation Model

open access: yesRemote Sensing, 2021
In recent years, the interpretation of SAR images has been significantly improved with the development of deep learning technology, and using conditional generative adversarial nets (CGANs) for SAR-to-optical transformation, also known as image ...
Daning Tan   +5 more
doaj   +1 more source

Distributed High-Degree Cubature Information Filter With Embedded Hybrid Consensus

open access: yesIEEE Access, 2019
To settle the problem of distributed nonlinear state estimation in sensor networks with naive nodes, a novel distributed high-degree cubature information filter with embedded hybrid consensus (DHCIF) is proposed.
Jun Liu   +4 more
doaj   +1 more source

A Discriminative Distillation Network for Cross-Source Remote Sensing Image Retrieval

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Nowadays, several remote sensing image capturing technologies are used ranging from unmanned aerial vehicles to satellites. Powerful learning-based discriminative features play an essential role in content-based remote sensing image retrieval (CBRSIR ...
Wei Xiong   +3 more
doaj   +1 more source

Fast Lyapunov Vector Field Guidance for Standoff Target Tracking Based on Offline Search

open access: yesIEEE Access, 2019
To address the problem of the long convergence time of traditional Lyapunov Vector Field Guidance (LVFG), a fast convergent LVFG designed with guidance function is proposed.
Shun Sun, Haipeng Wang, Jun Liu, You He
doaj   +1 more source

A new adaptive track correlation method for multiple scenarios

open access: yesIET Radar, Sonar & Navigation, 2021
The traditional track correlation methods have problems such as limitation of the application scenarios, unstable performances and poor practicalities. To solve those problems, a new adaptive track correlation method for multiple scenarios was proposed ...
Yaqi Cui   +3 more
doaj   +1 more source

A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction

open access: yesJournal of Big Data, 2021
The stock market is very unstable and volatile due to several factors such as public sentiments, economic factors and more. Several Petabytes volumes of data are generated every second from different sources, which affect the stock market.
Isaac Kofi Nti   +2 more
semanticscholar   +1 more source

A Confounder-Free Fusion Network for Aerial Image Scene Feature Representation

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
The increasing number and complex content of aerial images have made some recent methods based on deep learning not fit well with different aerial image processing tasks.
Wei Xiong, Zhenyu Xiong, Yaqi Cui
doaj   +1 more source

Suppression Method for Smeared Spectrum Jamming Based on Lv’s Distribution Combined with Biorthogonal Fourier Transform

open access: yesJournal of Electrical and Computer Engineering
Smeared spectrum (SMSP) jamming is a deceptive jamming technique commonly used against linear frequency modulation (LFM) radar. This technique produces high-density false targets that resemble a comb shape after pulse compression processing, resulting in
Zhenming Wen, Guohong Wang, Hongbo Yu
doaj   +1 more source

Using Big Data Fuzzy K-Means Clustering and Information Fusion Algorithm in English Teaching Ability Evaluation

open access: yesComplex, 2021
Aiming at the problem of inaccurate classification of big data information in traditional English teaching ability evaluation algorithms, an English teaching ability evaluation algorithm based on big data fuzzy K-means clustering and information fusion ...
Chen Zhen
semanticscholar   +1 more source

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