Search Results - Depthwise convolution

KIDBA‐Net: A Multi‐Feature Fusion Brain Tumor Segmentation Network Utilizing Kernel Inception Depthwise Convolution and Bi‐Cross Attention by Min, Jie, Huang, Tongyuan, Huang, Boxiong, Hu, Chuanxin, Zhang, Zhixing

“…‐label tumor subregions. The proposed Kernel Inception Depthwise Block (KIDB) employs multi‐kernel depthwise convolution to extract multi…”
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Simulated Centrifugal Fan Blade Fault Diagnosis Based on Modulational Depthwise Convolution–One-Dimensional Convolution Neural Network (MDC-1DCNN) Model by Ren, Zhaohui, Liu, Yulin, Yu, Tianzhuang, Zhou, Shihua, Zhang, Yongchao, Jiang, Zeyu

“… To solve this problem, this paper proposes a centrifugal fan blade fault diagnosis method based on a modulational depthwise convolution (DWconv…”
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Optimizing depthwise separable convolution on DCU: Optimizing depthwise separable convolution on DCU by Liu, Zheng, Hao, Meng, Zhang, Weizhe, Lu, Gangzhao, Tian, Xueyang, Yang, Siyu, Xie, Mingdong, Dai, Jie, Yuan, Chenyu, Wang, Desheng, Yang, Hongwei

“… One effective way to optimize the CNN is the use of depthwise separable convolution (DSC…”
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Falcon: lightweight and accurate convolution based on depthwise separable convolution by Jang, Jun-Gi, Quan, Chun, Lee, Hyun Dong, Kang, U.

“…How can we efficiently compress convolutional neural network (CNN) using depthwise separable convolution, while retaining their accuracy on classification tasks…”
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A YOLO Network Based on Depthwise Convolution Attention, Feature Fusion, and KL Divergence (DFK-YOLO): A Deep Learning Method for Infrared Small Target Detection Based on YOLOv7 by Ji, Peng, Wu, Changhao, Zhang, Xiangyue, Liu, Hean, He, Dongsheng

“… Specifically, an attention module leveraging Depthwise Convolution is incorporated into the backbone of YOLOv7…”
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Multi-Scale Depthwise Separable Convolution for Semantic Segmentation in Street–Road Scenes by Dai, Yingpeng, Li, Chenglin, Su, Xiaohang, Liu, Hongxian, Li, Jiehao

“… Based on this, a unique convolution module called Multi-Scale Depthwise Separable Convolution module is proposed for real-time semantic segmentation…”
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Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification by Gao, Hongmin, Yang, Yao, Li, Chenming, Gao, Lianru, Zhang, Bing

“… Specifically, the proposed MSRN introduces depthwise separable convolution (DSC) and replaces the ordinary depthwise convolution in DSC with mixed depthwise convolution…”
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Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated convolutions neural network by Celik, Gaffari

“…) and depthwise dilated convolutions (DDC) units. The FRB and DDC units efficiently acquired various features in the chest scan images and it was seen that the proposed architecture significantly improved its performance…”
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A digital signal processor‐efficient accelerator for depthwise separable convolution by Li, Xueming, Huang, Hongmin, Liu, Yuan, Hu, Xianghong, Xiong, Xiaoming

“…Recent researches on deep convolution neural networks have proposed some compact networks, such as MobileNet, but its main computation, depthwise separable convolution (DWC…”
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Transformer-based network with temporal depthwise convolutions for sEMG recognition by Wang, Zefeng, Yao, Junfeng, Xu, Meiyan, Jiang, Min, Su, Jinsong

“… Transformer and its self-attention mechanism, we propose a Transformer-based network, temporal depthwise…”
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Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection by Zhang, Tianwen, Zhang, Xiaoling, Shi, Jun, Wei, Shunjun

“…As an active microwave imaging sensor for the high-resolution earth observation, synthetic aperture radar (SAR) has been extensively applied in military,…”
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A Multiperson Pose Estimation Method Using Depthwise Separable Convolutions and Feature Pyramid Network by Du, Qidong

“… A multiperson pose estimation method using depthwise separable convolutions and feature pyramid network is proposed…”
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A hybrid approach consisting of 3D depthwise separable convolution and depthwise squeeze-and-excitation network for hyperspectral image classification by Asker, Mehmet Emin, Güngör, Mustafa

“… images.This study presents a hybrid approach for hyperspectral image classification, combining 3D Depthwise Separable Convolution (3D DSC…”
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Multi‐Scale Attention Fusion With Depthwise Separable Convolutions for Efficient Skin Cancer Detection by Nayeem, Md. Darun, Rahman, Md Anikur, Hossain, Md. Shakil, Safran, Mejdl, Alfarhood, Sultan, Mridha, M. F.

“…‐Scale Attention Fusion (MAF) with depthwise separable convolutions for efficient and accurate skin cancer detection…”
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RMSDSC‐Net: A robust multiscale feature extraction with depthwise separable convolution network for optic disc and cup segmentation by Wei, Zhou, Yuhan, Peng, Jianhang, Ji, Jikun, Yang, Weiqi, Bai, Yugen, Yi, Wenle, Wang

“… To address this issue, we propose a novel network named Robust Multiscale Feature Extraction with Depthwise Separable Convolution (RMSDSC‐Net…”
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DSCRANet : A Novel Potato Leaf Disease Recognition Model Based on Multi‐Scale Residual Attention Blocks and Depthwise Separable Convolution in Complex Backgrounds by Li, Guoxin, Zhang, Ruolei, Ren, Yan, Zhang, Jialiang, Ni, Haiming

“… Therefore, this study has constructed a novel residual model called “Depthwise Separable Convolution Residual Attention Network” ( DSCRANet…”
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Real-time semantic segmentation with weighted factorized-depthwise convolution by Hao, Xiaochen, Hao, Xingjun, Zhang, Yaru, Li, Yuanyuan, Wu, Chao

“… To solve this problem, a weighted factorized-depthwise convolution network (WFDCNet) is presented in this paper, which contains full- dimensional continuous separation convolution (FCS…”
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Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation by Xie, Donghan, Wang, Zhi, Chen, Chunlin, Dong, Daoyi

“…) challenge within a large number of agents coexisting. First, we design a new communication protocol that exploits the ability of depthwise convolution to efficiently extract local relations and learn local communication between neighboring agents…”
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MD-UNet: a medical image segmentation network based on mixed depthwise convolution by Liu, Yun, Yao, Shuanglong, Wang, Xing, Chen, Ji, Li, Xiaole

“… To address these problems, a U-shaped medical image segmentation network based on a Mixed depthwise convolution residual module (MDRM…”
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DSCP: Depthwise Separable Convolution-Based Passive Indoor Localization Using CSI Fingerprint by Han, Chong, Xun, Wenjing, Sun, Lijuan, Lin, Zhaoxiao, Guo, Jian

“… To solve these problems, a depthwise separable convolution-based passive indoor localization system (DSCP) is proposed…”
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