Results 11 to 20 of about 11,064 (217)

Lightweight Probabilistic Deep Networks [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
To appear at CVPR ...
Jochen Gast, Stefan Roth 0001
openaire   +4 more sources

Human Pose Estimation Based on Lightweight Multi-Scale Coordinate Attention

open access: yesApplied Sciences, 2023
Heatmap-based traditional approaches for estimating human pose usually suffer from drawbacks such as high network complexity or suboptimal accuracy. Focusing on the issue of multi-person pose estimation without heatmaps, this paper proposes an end-to-end,
Xin Li   +4 more
doaj   +1 more source

LiteDEKR: End‐to‐end lite 2D human pose estimation network

open access: yesIET Image Processing, 2023
The 2D human pose estimation plays an important role in human‐computer interaction and action recognition. Although the method based on high‐resolution network has superior performance, there is still room for improvement in terms of speed and ...
Xueqiang Lv   +5 more
doaj   +1 more source

Re-lightweight Method of MobileNet Based on Low-cost Deformable Convolution [PDF]

open access: yesJisuanji kexue, 2022
In recent years,with the development of unmanned driving,intelligent UAV and mobile Internet,the demand for lightweight neural network from low-power,low-cost mobile and embedded platforms is increasingly urgent.Based on the idea of deformable ...
SUN Chang-di, PAN Zhi-song, ZHANG Yan-yan
doaj   +1 more source

Surface Damage Identification of Wind Turbine Blade Based on Improved Lightweight Asymmetric Convolutional Neural Network

open access: yesApplied Sciences, 2023
Wind turbine blades are readily damaged by the workplace environment and frequently experience flaws such as surface peeling and cracking. To address the problems of cumbersome operation, high cost, and harsh application conditions with traditional ...
Li Zou, Haowen Cheng, Qianhui Sun
doaj   +1 more source

Lightweight capacity measurements for mobile networks [PDF]

open access: yesComputer Communications, 2016
Mobile data traffic is increasing rapidly and wireless spectrum is becoming a more and more scarce resource. This makes it highly important to operate mobile networks efficiently. In this paper we are proposing a novel lightweight measurement technique that can be used as a basis for advanced resource optimization algorithms to be run on mobile phones.
Foivos Michelinakis   +5 more
openaire   +4 more sources

Lightweight Design Strategy and Performance Optimization of Spaceborne Core Network

open access: yes天地一体化信息网络, 2023
With the growth of global communication demand, the spaceborne core network can not only reduce frequent signaling interactions between satellites and the ground, but also break through the constraints of geographical regions, providing strong support ...
Xi CHEN   +7 more
doaj   +2 more sources

A Lightweight Human Fall Detection Network

open access: yesSensors, 2023
The rising issue of an aging population has intensified the focus on the health concerns of the elderly. Among these concerns, falls have emerged as a predominant health threat for this demographic. The YOLOv5 family represents the forefront of techniques for human fall detection. However, this algorithm, although advanced, grapples with issues such as
Xi Kan   +3 more
openaire   +4 more sources

A lightweight YOLOv3 algorithm used for safety helmet detection

open access: yesScientific Reports, 2022
YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a complex network, and floating point operations (FLOPs) and parameter sizes are large.
Lixia Deng   +3 more
doaj   +1 more source

A Lightweight Model for 3D Point Cloud Object Detection

open access: yesApplied Sciences, 2023
With the rapid development of deep learning, more and more complex models are applied to 3D point cloud object detection to improve accuracy. In general, the more complex the model, the better the performance and the greater the computational resource ...
Ziyi Li   +5 more
doaj   +1 more source

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