Results 11 to 20 of about 25,441 (258)
DTCC: Multi-level dilated convolution with transformer for weakly-supervised crowd counting
Computational Visual Media, 2023 Crowd counting provides an important foundation for public security and urban management. Due to the existence of small targets and large density variations in crowd images, crowd counting is a challenging task.
Zhuangzhuang Miao +4 more
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A Dilated CNN Model for Image Classification
IEEE Access, 2019 The dilated convolution algorithm, which is widely used for image segmentation, is applied in the image classification field in this paper. In many traditional image classification algorithms, convolution neural network (CNN) plays an important role ...
Xinyu Lei +2 more
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A novel ResNet101 model based on dense dilated convolution for image classification
SN Applied Sciences, 2021 Image classification plays an important role in computer vision. The existing convolutional neural network methods have some problems during image classification process, such as low accuracy of tumor classification and poor ability of feature expression
Qi Zhang
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IEEE Access, 2021 As the rolling bearing is the most important part of rotating machinery, its fault diagnosis has been a research hotspot. In order to diagnose the faults of rolling bearing under different noisy environments and different load domains, a new method named
Haopeng Liang, Xiaoqiang Zhao
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Lung segmentation method with dilated convolution based on VGG-16 network
Computer Assisted Surgery, 2019 Lung cancer has become one of the life-threatening killers. Lung disease need to be assisted by CT images taken doctor's diagnosis, and the segmented CT image of the lung parenchyma is the first step to help doctor diagnosis.
Lei Geng +3 more
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Remaining useful life estimation model for aero-engine using multi-feature attention
Hangkong gongcheng jinzhan, 2023 The degradation trend of aero-engine performance is complex, so it is very important to predict its remaining life and maintain it in time. In this paper, a dilated convolution network based on multi-feature attention model is presented to predict the ...
WANG Xin +3 more
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Quantum Dilated Convolutional Neural Networks [PDF]
IEEE Access, 2022 In recent years, with rapid progress in the development of quantum technologies, quantum machine learning has attracted a lot of interest. In particular, a family of hybrid quantum-classical neural networks, consisting of classical and quantum elements, has been massively explored for the purpose of improving the performance of classical neural ...
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Lane Occupancy Prediction Model Based on Multi-Component Fusion and Dilated Graph Convolution [PDF]
Jisuanji gongcheng, 2021 In order to solve the problems of traffic congestion and insufficient allocation of traffic hardware resources,a lane occupancy prediction model,MCFDGCN,based on multi-component fusion and dilated graph convolution is proposed.Considering the non-linear ...
SUN Xiufang, LI Jianbo, LÜ Zhiqiang, DONG Chuanhao
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Multi-scale information fusion based on convolution kernel pyramid and dilated convolution for Wushu moving object detection [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2022 In complex background, the accuracy of moving object detection can be affected by some factors such as illumination change, short occlusion and background movement.
Yuhang Li
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Hematoma Segmentation Using Dilated Convolutional Neural Network [PDF]
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018 Traumatic brain injury (TBI) is a global health challenge. Accurate and fast automatic detection of hematoma in the brain is essential for TBI diagnosis and treatment. In this study, we developed a fully automated system to detect and segment hematoma regions in head Computed Tomography (CT) images of patients with acute TBI.
Heming, Yao +4 more
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