Results 11 to 20 of about 335,518 (164)
DASANet: A 3D Object Detector with Density-and-Sparsity Feature Aggregation
In the field of autonomous driving and robotics, 3D object detection is a difficult, but important task. To improve the accuracy of detection, LiDAR, which collects the 3D point cloud of a scene, is updated constantly. But the density of the collected 3D
Qiang Zhang, Dongdong Wei
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In-stent restenosis in acute coronary syndrome—a classic and a machine learning approach
BackgroundIn acute coronary syndrome (ACS), a number of previous studies tried to identify the risk factors that are most likely to influence the rate of in-stent restenosis (ISR), but the contribution of these factors to ISR is not clearly defined. Thus,
Alexandru Scafa-Udriște +11 more
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Image fusion methods in high-speed railway scenes: A survey
Image fusion refers to extracting meaningful information from images of different sources or modalities, and then fusing them to generate more informative images that are beneficial for subsequent applications.
Yuqiao Zeng +5 more
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Background Ensuring high accuracy in multimodal image fusion for oral and maxillofacial tumors is crucial before further application. The aim of this study was to explore the factors influencing the accuracy of multimodal image fusion for oral and ...
Lei-Hao Hu +5 more
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Real-Time Semantics-Driven Infrared and Visible Image Fusion Network
This paper proposes a real-time semantics-driven infrared and visible image fusion framework (RSDFusion). A novel semantics-driven image fusion strategy is introduced in image fusion to maximize the retention of significant information of the source ...
Binhao Zheng +4 more
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Enhancing underwater images by fusion [PDF]
When photographs are taken in underwater conditions the visibility of the scene is degraded significantly. This is due to the fact that the radiance of a point in the scene is directly influenced by the medium scattering. Practically, distant objects and part of the scene suffers from poor visibility, loss of contrast and faded colors.
Cosmin Ancuti +3 more
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Peer ...
Comino Trinidad, Marc +3 more
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A Non-Conventional Review on Multi-Modality-Based Medical Image Fusion
Today, medical images play a crucial role in obtaining relevant medical information for clinical purposes. However, the quality of medical images must be analyzed and improved.
Manoj Diwakar +3 more
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Fusion of visible and infrared images using GE-WA model and VGG-19 network
For the low computational efficiency, the existence of false targets, blurred targets, and halo occluded targets of existing image fusion models, a novel fusion method of visible and infrared images using GE-WA model and VGG-19 network is proposed. First,
Weiqiang Fan, Xiaoyu Li, Zhongchao Liu
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A Novel Multi-Modality Image Simultaneous Denoising and Fusion Method Based on Sparse Representation
Multi-modality image fusion applied to improve image quality has drawn great attention from researchers in recent years. However, noise is actually generated in images captured by different types of imaging sensors, which can seriously affect the ...
Guanqiu Qi +4 more
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