Suchergebnisse - "DeepLab v3+"

Medical image recognition and segmentation of pathological slices of gastric cancer based on Deeplab v3+ neural network von Wang, Jing, Liu, Xiuping

“… •An automatic gastric cancer segmentation model based on Deeplab v3+ is proposed.•Deeplab v3+ with multi-scale input can improve performance.•Deeplab v3+ …”
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Grading crayfish by estimating the proportion of crayfish head and pincers based on DeepLab V3 von WANG Zihao, HU Zhigang, FU Dandan, JIANG Yajun

“… Objective: To achieve reasonable and effective grading of live crayfish, and improve the work of grading crayfish. Methods: The construction of crayfish image …”
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Research on terahertz image analysis of thin-shell seeds based on semantic segmentation von Wu, Jingzhu, Yuan, Xiyan, Yang, Yi, Xia, Tong, Li, Yang, Cheng, Jun-hu, Yu, Chongchong, Liu, Cuiling

“… [Display omitted] •Unveils the potential of terahertz imaging in thin-shell seed structure analysis.•Combines terahertz imaging with deep learning propels …”
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An Improved DeepLab v3+ Deep Learning Network Applied to the Segmentation of Grape Leaf Black Rot Spots von Yuan, Hongbo, Zhu, Jiajun, Wang, Qifan, Cheng, Man, Cai, Zhenjiang

“… The common method for evaluating the extent of grape disease is to classify the disease spots according to the area. The prerequisite for this operation is to …”
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Study of bubble behavior in a gas–solid dense-phase fluidized bed based on deep learning von Fu, Yanhong, He, Xin, Wang, Song, Zhao, Yuemin, Dong, Liang, Chen, Zengqiang

“… [Display omitted] •An automatic bubble segmentation method based on deep learning is proposed.•Achieving a pixel accuracy of 97.95% and 80.91% MIoU for bubble …”
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Toward sustainable clean ports: Smoke opacity measurement based on semantic segmentation and edge device von Park, Min-Ho, Choi, Jae-Hyuk, Lee, Won-Ju

“… To overcome the limitations of manually determining the opacity of smoke emitted from ships, we present a novel framework using artificial intelligence and an …”
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Identification of maceral groups in Chinese bituminous coals based on semantic segmentation models von Wang, Yue, Bai, Xiangfei, Wu, Linlin, Zhang, Yuhong, Qu, Sijian

“… •It is the first time that semantic segmentation models based on deep learning are introduced to make a pixel-level identification of coal macerals.•The …”
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Comparative parotid gland segmentation by using ResNet‐18 and MobileNetV2 based DeepLab v3+ architectures from magnetic resonance images von Sunnetci, Kubilay Muhammed, Kaba, Esat, Beyazal Çeliker, Fatma, Alkan, Ahmet

“… Summary Nowadays, artificial intelligence‐based medicine plays an important role in determining correlations not comprehensible to humans. In addition, the …”
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基于图像分割技术的智能造字研究 von 蒋建斌, 黄松, 吴建国

“… 目前,基于风格学习的智能造字技术生成的字体与用户手写风格相似度低,基于 GPU(graphics proce-ssing unit)风格迁移的方法成本高昂.为解决上述问题,利用深度学习和图像分割 …”
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Deep semantic segmentation for visual scene understanding of soil types von Zamani, Vahid, Taghaddos, Hosein, Gholipour, Yaghob, Pourreza, Hamidreza

“… One of the state-of-the-art computer vision applications is scene understanding and visual contextual awareness. Despite the numerous detection and …”
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Achieving wheat seedling freezing injury assessment during the seedling stage using Unmanned Ground Vehicle (UGV) and hyperspectral imaging technology von Yao, Zhaosheng, Shao, Ruimin, Zain, Muhammad, Zhao, Yuanyuan, Tian, Ting, Wang, Jianliang, Zhang, Dingshun, Liu, Tao, Song, Xiaoxin, Sun, Chengming

“… Freezing injury may cause irreversible damage to wheat (Triticum aestivum L) tissues and can significantly reduce yield and quality. Therefore, quick and …”
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Clothing Image Segmentation Network Based on Improved Deeplab v3 von HU Xinrong, GONG Chuang, ZHANG Zili, ZHU Qiang, PENG Tao, HE Ruhan

“… To solve the problems of rough clothing edge segmentation, unsatisfactory segmentation accuracy, and insufficient deep semantic feature extraction in clothing …”
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Turning tool wear detection and error analysis based on DeepLab V3 semantic segmentation networks von Yin, Haifang, Wang, Zhenhua

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Comparative analysis of semantic-segmentation models for screen film mammograms von Rani, Jyoti, Singh, Jaswinder, Virmani, Jitendra

“… Accurate segmentation of mammographic mass is very important as shape characteristics of these masses play a significant role for radiologist to diagnose …”
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Land Cover Classification Model Using Multispectral Satellite Images Based on a Deep Learning Synergistic Semantic Segmentation Network von Gharahbagh, Abdorreza Alavi, Hajihashemi, Vahid, Machado, José J. M., Tavares, João Manuel R. S.

“… Land cover classification (LCC) using satellite images is one of the rapidly expanding fields in mapping, highlighting the need for updating existing …”
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Exploring Various Deep Learning Models for High-Precision Landslide Tracing in Very-High Resolution Remote Sensing Imagery von Nguyen, Hieu, Dang, Kinh Bac, Giang, Tuan Linh, Dang, Van Bao, Dang, Nguyen Vu, Dao, Minh Duc

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Remote sensing monitoring of seagrass bed dynamics using cross-temporal-spatial domain transfer learning in Yellow river Delta von Meng, Ziyue, Hu, Yabin, Ren, Guangbo, Zhu, Wenqing, Wang, Jianbu, Liu, Shanwei, Ma, Yi

“… Seagrass beds play a vital ecological role by regulating climate, maintaining biodiversity, and sequestering carbon. Achieving accurate classification of …”
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Effect of dataset distribution on automatic road extraction in very high-resolution orthophoto using DeepLab V3 von Sussi, Sussi, Husni, Emir, Siburian, Arthur, Yusuf, Rahadian, Budi Harto, Agung, Suwardhi, Deni

“… Road extraction is one of the stages in the map-making process, which has been done manually, takes a long time, and costs a lot. Deep Learning is used to …”
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Crop Type Identification Using High-Resolution Remote Sensing Images Based on an Improved DeepLabV3+ Network von Chang, Zhu, Li, Hu, Chen, Donghua, Liu, Yufeng, Zou, Chen, Chen, Jian, Han, Weijie, Liu, Saisai, Zhang, Naiming

“… Remote sensing technology has become a popular tool for crop classification, but it faces challenges in accurately identifying crops in areas with fragmented …”
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Kinematic skeleton graph augmented network for human parsing von Liu, Jinde, Zhang, Zhang, Shan, Caifeng, Tan, Tieniu

“… Human parsing, which is a task of labeling pixels in human images into different fine-grained semantic parts, has achieved significant progress during the past …”
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