Results 11 to 20 of about 69,276 (264)
Lightweight Dual-Stream Residual Network for Single Image Super-Resolution
The deep convolutional neural network has achieved great success in the Single Image Super-resolution task. It is obviously that among the well-known super-resolution methods, the deep learning-based algorithms show the most advanced performance. However,
Yichun Jiang +3 more
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Kidney abnormality is one of the major concerns in modern society, and it affects millions of people around the world. To diagnose different abnormalities in human kidneys, a narrow-beam x-ray imaging procedure, computed tomography, is used, which ...
Mohan Bhandari +3 more
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Lightweight Adaptive E-Advertising Model [PDF]
JUCS - Journal of Universal Computer Science Volume Nr.
Qaffas, Alaa A. +2 more
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AL-Net: Asymmetric Lightweight Network for Medical Image Segmentation
Medical image segmentation plays an important role in clinical applications, such as disease diagnosis and treatment planning. On the premise of ensuring segmentation accuracy, segmentation speed is also an important factor to improve diagnosis ...
Xiaogang Du +9 more
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Lightweight Semantic Prototyper for Conceptual Modeling [PDF]
While much research work was devoted to conceptual model quality validation techniques, most of the existing tools in this domain focus on syntactic quality. Tool support for checking semantic quality (correspondence between the conceptual model and requirements of a domain to be engineered) is largely lacking.
Sedrakyan, Gayane, Snoeck, Monique
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A Lightweight Traffic Lights Detection and Recognition Method for Mobile Platform
Traffic lights detection and recognition (TLDR) is one of the necessary abilities of multi-type intelligent mobile platforms such as drones. Although previous TLDR methods have strong robustness in their recognition results, the feasibility of deployment
Xiaoyuan Wang +7 more
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Efficient Point Cloud Object Classifications with GhostMLP
Efficient models capable of handling large numbers of data points in point cloud research are in high demand in computer vision. Despite recent advancements in 3D classification and segmentation tasks in point cloud processing, the deep learning ...
Hawking Lai, K. L. Eddie Law
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VLDNet: An Ultra-Lightweight Crop Disease Identification Network
Existing deep learning methods usually adopt deeper and wider network structures to achieve better performance. However, we found that this rule does not apply well to crop disease identification tasks, which inspired us to rethink the design paradigm of
Xiaopeng Li +3 more
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Accurate Detection of Alzheimer’s Disease Using Lightweight Deep Learning Model on MRI Data
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by cognitive impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD is crucial for the development of effective treatments and interventions, as
Ahmed A. Abd El-Latif +3 more
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A Lightweight Recognition Method for Rice Growth Period Based on Improved YOLOv5s
The identification of the growth and development period of rice is of great significance to achieve high-yield and high-quality rice. However, the acquisition of rice growth period information mainly relies on manual observation, which has problems such ...
Kaixuan Liu +5 more
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