Directed Community Detection With Network Embedding
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1887742
Abstract: Community detection in network data aims at grouping similar nodes sharing certain characteristics together. Most existing methods focus on detecting communities in undirected networks, where simil... read more here.
Keywords: directed community; community detection; detection network;
Clickable Object Detection Network for a Wide Range of Mobile Screen Resolutions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202222
Abstract: Recently, as the development cycle of applications has been shortened, it is important to develop rapid and accurate application testing technology. Since application testing requires a lot of cost, mobile GUI component detection technology using… read more here.
Keywords: detection network; detection; object detection; mobile screen ... See more keywords
Early Detection of Network Intrusions Using a GAN-Based One-Class Classifier
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221400
Abstract: Early detection of network intrusions is a very important factor in network security. However, most studies of network intrusion detection systems utilize features for full sessions, making it difficult to detect intrusions before a session… read more here.
Keywords: network; detection network; detection; network intrusions ... See more keywords
DCNet: A Deformable Convolutional Cloud Detection Network for Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3086584
Abstract: Recently, deep convolutional neural networks (CNNs) have made important progress in cloud detection with powerful representation learning capability and yield significant performance. However, most existing CNN-based cloud detection methods still face serious challenges because of… read more here.
Keywords: convolutional cloud; deformable convolutional; detection; detection network ... See more keywords
SOCDet: A Lightweight and Accurate Oriented Object Detection Network for Satellite On-Orbit Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3269642
Abstract: In recent years, the performance of the deep-learning-based object detection models for remote-sensing images (RSIs) improves with the increase of the hyperparameter scale. However, the state-of-the-art detection models are generally too cumbersome to adapt to… read more here.
Keywords: network; detection network; network satellite; oriented object ... See more keywords
DenseLightNet: A Light-Weight Vehicle Detection Network for Autonomous Driving
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2019.2962413
Abstract: In recent years, vehicle detectors built on deep convolutional neural network (DCNN) have been widely used in autonomous driving. Under the complex conditions of road traffic, the detector is expected to run in high speed… read more here.
Keywords: vehicle; detection network; autonomous driving; group ... See more keywords
EGNet: Efficient Robotic Grasp Detection Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3174274
Abstract: In this paper, a novel grasp detection network, Efficient Grasp detection Network (EGNet), is proposed to deal with the grasp challenging in stacked scenes, which complete the tasks of the object detection, grasp detection and… read more here.
Keywords: detection network; grasp; egnet; detection ... See more keywords
Multimodal polarization image simulated crater detection
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.29.2.023027
Abstract: Abstract. Most previous target detection methods are based on the physical properties of visible-light polarization images, depending on different targets and backgrounds. However, this process is not only complicated but also vulnerable to environmental noises.… read more here.
Keywords: polarization image; detection network; network; detection ... See more keywords
Application Communities Detection in Network
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DOI: 10.3390/app9010031
Abstract: The continuous growth of Internet traffic and its applications causes more difficulties for analyzing Internet communications. It has become an increasingly challenging task to discover latent community structure and find abnormal behavior patterns in network… read more here.
Keywords: application communities; network; communities detection; community ... See more keywords
Adaptive Enhanced Detection Network for Low Illumination Object Detection
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11102404
Abstract: Any small environmental changes in the driving environment of a traffic vehicle can become a risk factor directly leading to major safety incidents. Therefore, it is necessary to assist drivers in automatically detecting risk factors… read more here.
Keywords: detection network; low illumination; detection; risk ... See more keywords
Symmetry GAN Detection Network: An Automatic One-Stage High-Accuracy Detection Network for Various Types of Lesions on CT Images
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020234
Abstract: Computed tomography (CT) is the first modern slice-imaging modality. Recent years have witnessed its widespread application and improvement in detecting and diagnosing related lesions. Nonetheless, there are several difficulties in detecting lesions in CT images:… read more here.
Keywords: network; detection network; symmetry gan; lesions images ... See more keywords