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Feature-enhanced composite backbone network for object detection
In the domain of object detection, the performance of a detector depend heavily on the quality of features extracted by the backbone network....
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A multi-aggregator graph neural network for backbone exaction of fracture networks
Accurately analyzing the flow and transport behavior in a large discrete fracture network is computationally expensive. Fortunately, recent research...
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CB-YOLO: composite dual backbone network for high-frequency transformer coding defect detection
The high-frequency transformer is a crucial component of various electronic devices. The coding on high-frequency transformers indicates the product...
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A Modular Network Exploration of Backbone Extraction Techniques
Network backbone extraction techniques reduce the size of networks while trying to preserve their topological features. The literature reports...
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Improved YOLOv5s combining enhanced backbone network and optimized self-attention for PCB defect detection
As the foundation of circuits and electronic systems, the quality of printed circuit boards (PCBs) is directly related to the reliability of the...
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LERFNet: an enlarged effective receptive field backbone network for enhancing visual drone detection
Recently, the world has witnessed a great increase in drone applications and missions. Drones must be detected quickly, effectively, and precisely...
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A multilevel backbone extraction framework
As networks grow in size and complexity, backbones become an essential network representation. Indeed, they provide a simplified yet informative...
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Air Transportation Network Backbone Extraction: A Comparative Analysis of Structural Filtering Techniques
In the age of advanced data collection tools, large-scale network analysis presents significant visualization and data processing challenges....
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The role of transition rate on traffic flow in an open percolation-backbone fractal network
Traffic control plays a prominent role in traffic flow characteristics. The number of vehicles entering or leaving the road network (transition rate)...
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Biowaste-Derived Pectin-Collagen Hybrid Backbone based Semi-Interpenetrating Network for Efficient Petroleum Fraction-Water Separation
A novel biocompatible semi-IPN was synthesized through graft copolymerization of polyvinyl alcohol onto the biowaste-derived hybrid pectin-collagen...
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3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion
BackgroundCervical cancer cell detection is an essential means of cervical cancer screening. However, for thin-prep cytology test (TCT)-based images,...
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Detail injection with heterogeneous composite backbone network for object detection
Current detectors usually rely on backbone networks initially designed for image classification and pretrained on large image classification...
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Improving multi-step prediction performance of multi-channel QoT over optical backbone networks: deep echo state attention network
Multi-channel transmission mode is the mainstream in real optical system scenarios, and its precise prediction of the optical channel quality of...
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Person Re-identification Method Based on Dual Feature Attention Backbone Network
Person re-identification using attention mechanisms has been a prominent research focus, enabling the extraction of highly discriminative features.....
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Research on Backbone Routing Protocol of Ad Hoc Network Based on SDN
In recent years, with the development of Internet of Things and UAV network, Ad Hoc networks have increased the number of nodes, enhanced node...
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LSKNet: A Foundation Lightweight Backbone for Remote Sensing
Remote sensing images pose distinct challenges for downstream tasks due to their inherent complexity. While a considerable amount of research has...
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Towards an efficient backbone for preserving features in speech emotion recognition: deep-shallow convolution with recurrent neural network
Speech emotion recognition (SER) has attracted a great deal of research interest, which plays as a critical role in human-machine interactions....
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Connection number topological aspect for backbone DNA networks
AbstractThe present study investigates the complex topological characteristics of DNA networks, with a specific emphasis on the innovative metric...
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An evaluation tool for backbone extraction techniques in weighted complex networks
Networks are essential for analyzing complex systems. However, their growing size necessitates backbone extraction techniques aimed at reducing their...
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YOLO-GTWDNet: a lightweight YOLOv8 network with GhostNet backbone and transformer neck to detect handheld weapons for smart city applications
Weapon detection is the process of identifying handheld weapons such as guns, knives, etc., and creating a bounding box around them to highlight the...
