Results 1 to 10 of about 857 (82)
Multi-Scale Depthwise Separable Convolution for Semantic Segmentation in Street–Road Scenes
Remote Sensing, 2023 Vision is an important way for unmanned mobile platforms to understand surrounding environmental information. For an unmanned mobile platform, quickly and accurately obtaining environmental information is a basic requirement for its subsequent visual ...
Jiehao Li
exaly +3 more sources
Depthwise Separable Convolution Unet for 3D Seismic Data Interpolation
Frontiers in Earth Science, 2023 In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms.
Bangyu Wu, Xinze Li
exaly +3 more sources
ISPRS International Journal of Geo-Information, 2023 Hyperspectral images (HSIs) are pivotal in various fields due to their rich spectral–spatial information. While convolutional neural networks (CNNs) have notably enhanced HSI classification, they often generate redundant spatial features. To address this,
Weitong Chen, Qingqing Hong
exaly +3 more sources
Applied Sciences (Switzerland), 2019 Due to the high proportion of aircraft faults caused by cracks in aircraft structures, crack inspection in aircraft structures has long played an important role in the aviation industry.
Xiaoqiang Li, Li Yadan
exaly +3 more sources
Real-Time Target Detection Method Based on Lightweight Convolutional Neural Network
Frontiers in Bioengineering and Biotechnology, 2022 The continuous development of deep learning improves target detection technology day by day. The current research focuses on improving the accuracy of target detection technology, resulting in the target detection model being too large.
Juntong Yun +23 more
doaj +1 more source
Expression Recognition Method Based on CBAM-DSC Network
Journal of Harbin University of Science and Technology, 2023 Aiming at the problems of complex parameters and low computational performance of facial expression network model, an expression recognition method based on Convolutional Block Attention Module-Depthwise Separable Convolution network is proposed.
SONG Wen bo +3 more
doaj +1 more source
IEEE Access, 2023 In real-time strategy (RTS) games, to defeat their opponents, players need to choose and implement the correct sequential actions. Because RTS games like StarCraft II are real-time, players have a very limited time to choose how to develop their strategy.
Changhyun Kim +7 more
doaj +1 more source
Re-lightweight Method of MobileNet Based on Low-cost Deformable Convolution [PDF]
Jisuanji 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
Advances in Mechanical Engineering, 2022 Lubrication condition has a strong effect on the service ability of planetary roller screw mechanism (PRSM), so how to effectively identify the lubrication condition of PRSM is highly important in practical industrial applications.
Wei Cai +5 more
doaj +1 more source
Multi-Scale Residual Depthwise Separable Convolution for Metro Passenger Flow Prediction
Applied Sciences, 2023 Accurate prediction of metro passenger flow helps operating departments optimize scheduling plans, alleviate passenger flow pressure, and improve service quality.
Taoying Li, Lu Liu, Meng Li
doaj +1 more source