Search Results - DeeplabV3+ neural network

Enhancing DeepLabv3+ Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform by Gao, Guining, Chen, Zhihan, Wei, Yicheng, Zhu, Xicun, Yu, Xinyang

“… This study enhanced the DeepLabv3+ model to achieve superior performance in apple orchard identification by incorporating ResNet, optimizing the algorithm, and adjusting hyperparameter configuration using the PIE-Engine cloud platform…”
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Runway Detection using a Modified DeeplabV3+ Segmentation Neural Network for Space Applications by Smith, David, Carssow, Douglas

“…) to execute a runway detection segmentation neural network. This demonstration was performed to support an NRL developed algorithm for performing landmark based orbit-determination…”
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Simulation of the of the DeepLabv3 neural network learning process for the agricultural fields segmentation by Rogachev, A. F., Belousov, I. S.

“… The aim of the study is to create a mathematical model of the learning process of the DeepLabV3 neural network for intelligent analysis and segmentation of agricultural fields. Method…”
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Object Detection and Segmentation Using Deeplabv3 Deep Neural Network for a Portable X-Ray Source Model by Rogelio, Jayson P., Dadios, Elmer P., Vicerra, Ryan Ray P., Bandala, Argel A.

“…The primary purpose of this research is to implement Deeplabv3 architecture’s deep neural network in detecting and segmenting portable X-ray source model parts such as body, handle, and aperture in the same color scheme scenario…”
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Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network by Li, Yane, Chen, Zhichao, Qi, Hongxia, Fan, Ming, Li, Lihua

“… To address this, this paper proposes a semantic segmentation network based on a hybrid architecture of convolutional neural network and Transformer, named shuffle window transformer DeeplabV3+ (SWT-DeepLabV3…”
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Segmentation Method for Infrared Images of Substation Equipment Based on DeepLabv3+ Neural Network by Xuan, Wenchao, Wang, Hongliang, Peng, Haichao, Chen, Hongtao, Guo, Yanchun, Wang, Xianda, Song, Lin, Wang, He

“…This study focuses on developing a high-precision image segmentation method for substation equipment using the DeepLabv3+ neural network…”
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Gas Leak Real-Time Detection and Volume Flow Quantification Based on Infrared Imaging and Advanced Algorithms by Yan, Man, Li, Zhou, Dong, Zheng, Liun, Yiming, Chen, Liyun, Wu, Xiaosong, Wu, Lijun

“… A basic network DeepLabV3+ is first modified by replacing its Xception backbone with MobileNetv2 for real-time gas detection and segmentation…”
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High-Throughput in situ Root Image Segmentation Based on the Improved DeepLabv3+ Method by Shen, Chen, Liu, Liantao, Zhu, Lingxiao, Kang, Jia, Wang, Nan, Shao, Limin

“…+ convolutional neural network (CNN) architecture…”
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An improved DeepLabv3+ lightweight network for remote-sensing image semantic segmentation by Chen, Hui, Qin, Yuanshou, Liu, Xinyuan, Wang, Haitao, Zhao, Jinling

“…+ lightweight neural network is proposed. Specifically, the lightweight network MobileNetv2 is used as the backbone network…”
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Unified DeepLabV3+ for Semi-Dark Image Semantic Segmentation by Memon, Mehak Maqbool, Hashmani, Manzoor Ahmed, Junejo, Aisha Zahid, Rizvi, Syed Sajjad, Raza, Kamran

“… The challenging problems of learning deep convolution neural networks, specifically ResNet-based DeepLabV3…”
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Crack Detection on Concrete Surfaces Using Deep Encoder-Decoder Convolutional Neural Network: A Comparison Study Between U-Net and DeepLabV3 by Hadinata, Patrick Nicholas, Simanta, Djoni, Eddy, Liyanto, Nagai, Kohei

“… Convolutional neural network (CNN), a subset of artificial intelligence, is used to detect cracks on concrete surfaces through semantic image segmentation…”
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Research on Ground Object Classification Method of High Resolution Remote-Sensing Images Based on Improved DeeplabV3 by Fu, Junjie, Yi, Xiaomei, Wang, Guoying, Mo, Lufeng, Wu, Peng, Kapula, Kasanda Ernest

“… In the field of deep learning, some deep neural networks are being applied to high-resolution remote-sensing image segmentation. The DeeplabV3…”
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Lithology Identification of Improved Model based on DeepLabv3 + Deep Convolutional Neural Network by Wang, Ju, Yin, Senlin, Hu, Zhangming, Bai, Kai

“…Aiming at the complexity of outcrop lithology identification, an improved outcrop lithology identification algorithm based on DeepLabv3 + is proposed…”
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Multi-task semantic segmentation of CT images for COVID-19 infections using DeepLabV3+ based on dilated residual network by Polat, Hasan

“…COVID-19 is a deadly outbreak that has been declared a public health emergency of international concern. The massive damage of the disease to public health,…”
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Intelligent Recognition and Segmentation of Blunt Craniocerebral Injury CT Images Based on DeepLabV3+ Model by Qin, Hao-Jie, Liu, Yuan-Yuan, Fu, En-Hao, Liu, Ya-Wen, Tian, Zhi-Ling, Dong, He-Wen, Liu, Tai-Ang, Zou, Dong-Hua, Cheng, Yi-Bin, Liu, Ning-Guo

“… (hereinafter referred to as "segmentation") by training convolutional neural network DeepLabV3…”
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mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments by Baban A Erep, Thierry Roland, Chaari, Lotfi

“…Recent decades have witnessed the development of vision-based dietary assessment (VBDA) systems. These systems generally consist of three main stages: food…”
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Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation by Liu, Yuan, Zhu, Ming, Wang, Jing, Guo, Xiangji, Yang, Yifan, Wang, Jiarong

“… This paper proposes an end-to-end spacecraft image segmentation network using the semantic segmentation network DeepLabv3…”
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Intelligent crack identification method for high‐rise buildings aided by synthetic environments by Yao, Ziluo, Jiang, Sheng, Wang, Shuo, Wang, Jingjing, Liu, Hai, Narazaki, Yasutaka, Cui, Jie, Spencer, Billie F.

“…Summary Cracks can develop in high‐rise buildings because of long‐term environmental changes and extreme loading events such as strong winds or earthquakes…”
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Dose prediction using a deep neural network for accelerated planning of rectal cancer radiotherapy by Song, Ying, Hu, Junjie, Liu, Yang, Hu, Haiyun, Huang, Yang, Bai, Sen, Yi, Zhang

“…•The applied deep neural network DeepLabv3+ performed clinical acceptable dose distribution for rectal cancer radiotherapy with mean square error…”
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Automatic Segmentation of Finger Bone Regions from CR Images Using Improved DeepLabv3 by Ono, Hikaru, Murakami, Seiichi, Kamiya, Tohru, Aoki, Takatoshi

“…The number of hospitalized patients and the number of people requiring nursing care are serious social problems in Japan due to the increasing elderly…”
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