咨询与建议

限定检索结果

文献类型

  • 44 篇 期刊文献
  • 7 篇 会议

馆藏范围

  • 51 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 49 篇 工学
    • 27 篇 电气工程
    • 24 篇 计算机科学与技术...
    • 9 篇 测绘科学与技术
    • 7 篇 软件工程
    • 5 篇 信息与通信工程
    • 4 篇 交通运输工程
    • 4 篇 环境科学与工程(可...
    • 3 篇 电子科学与技术(可...
    • 3 篇 控制科学与工程
    • 2 篇 土木工程
    • 2 篇 生物医学工程(可授...
    • 1 篇 机械工程
    • 1 篇 光学工程
    • 1 篇 仪器科学与技术
    • 1 篇 材料科学与工程(可...
    • 1 篇 水利工程
    • 1 篇 化学工程与技术
  • 14 篇 理学
    • 8 篇 地球物理学
    • 3 篇 物理学
    • 2 篇 生物学
    • 1 篇 大气科学
  • 13 篇 医学
    • 11 篇 临床医学
    • 2 篇 基础医学(可授医学...
    • 1 篇 特种医学
  • 2 篇 管理学
    • 2 篇 管理科学与工程(可...
  • 1 篇 农学

主题

  • 51 篇 encoder-decoder ...
  • 8 篇 feature extracti...
  • 8 篇 attention mechan...
  • 7 篇 semantic segment...
  • 5 篇 deep learning
  • 5 篇 decoding
  • 4 篇 optimization
  • 3 篇 remote sensing i...
  • 3 篇 three-dimensiona...
  • 3 篇 convolution
  • 3 篇 semantics
  • 3 篇 encoding
  • 3 篇 convolutional ne...
  • 3 篇 training
  • 3 篇 convolutional ne...
  • 2 篇 reinforcement le...
  • 2 篇 image segmentati...
  • 2 篇 attention module
  • 2 篇 ldct
  • 2 篇 road extraction

机构

  • 2 篇 beijing univ tec...
  • 2 篇 inner mongolia u...
  • 1 篇 southeast univ l...
  • 1 篇 cas ctr excellen...
  • 1 篇 beihang univ sch...
  • 1 篇 hebei petr univ ...
  • 1 篇 new jersey inst ...
  • 1 篇 jiangnan univ sc...
  • 1 篇 south china univ...
  • 1 篇 china univ geosc...
  • 1 篇 univ adelaide sc...
  • 1 篇 yanshan univ sch...
  • 1 篇 xidian univ key ...
  • 1 篇 china renewable ...
  • 1 篇 hcruiser informa...
  • 1 篇 chongqing univ c...
  • 1 篇 wuhan univ sci &...
  • 1 篇 cisdi info peopl...
  • 1 篇 northwestern pol...
  • 1 篇 sichuan univ col...

作者

  • 3 篇 wang wei
  • 2 篇 dai huhe
  • 2 篇 zheng yuan
  • 2 篇 zhang rui
  • 2 篇 zhang pengcheng
  • 2 篇 chen lei
  • 1 篇 zhang yaru
  • 1 篇 shao yizhou
  • 1 篇 wang lei
  • 1 篇 su liangliang
  • 1 篇 liu yuehu
  • 1 篇 jiang du
  • 1 篇 liu wanquan
  • 1 篇 zeng tao
  • 1 篇 wang ping
  • 1 篇 liu changchun
  • 1 篇 xue kaiyu
  • 1 篇 jiang wei
  • 1 篇 shan shiguang
  • 1 篇 cui xueying

语言

  • 51 篇 英文
  • 1 篇 德文
  • 1 篇 法文
检索条件"主题词=Encoder-decoder structure"
51 条 记 录,以下是21-30 订阅
排序:
A sketch semantic segmentation method using novel local feature aggregation and segment-level self-attention
收藏 引用
NEURAL COMPUTING & APPLICATIONS 2023年 第21期35卷 15295-15313页
作者: Wang, Lei Zhang, Shihui Wang, Wei Zhao, Weibo Yanshan Univ Sch Informat Sci & Engn Hebei St Qinhuangdao 066004 Hebei Peoples R China Yanshan Univ Key Lab Comp Virtual Technol & Syst Integrat Hebei Hebei St Qinhuangdao 066004 Hebei Peoples R China
Sketch semantic segmentation presents great challenges, since sketches have simpler appearances and more levels of abstraction than natural images. To overcome these challenges, we propose a sketch semantic segmentati... 详细信息
来源: 评论
Learnable PM diffusion coefficients and reformative coordinate attention network for low dose CT denoising
收藏 引用
PHYSICS IN MEDICINE AND BIOLOGY 2023年 第24期68卷 245017-245017页
作者: Zhang, Haowen Zhang, Pengcheng Cheng, Weiting Li, Shu Yan, Rongbiao Hou, Ruifeng Gui, Zhiguo Liu, Yi Chen, Yang North Univ China State Key Lab Dynam Testing Technol Taiyuan 030051 Peoples R China Southeast Univ Minist Educ Key Lab Comp Network & Informat Integrat Nanjing 210096 Peoples R China Southeast Univ Lab Image Sci & Technol Nanjing 210096 Peoples R China Ctr Rech Informat Biomed Sino Francais LIA CRIBs F-3500 Rennes France Southeast Univ Jiangsu Prov Joint Int Res Lab Med Informat Proc Nanjing Peoples R China
Objective. Various deep learning methods have recently been used for low dose CT (LDCT) denoising. Aggressive denoising may destroy the edge and fine anatomical structures of CT images. Therefore a key issue in LDCT d... 详细信息
来源: 评论
Channel Pyramidal Transformer Network for Single Image Deraining
收藏 引用
IEEE SIGNAL PROCESSING LETTERS 2023年 30卷 1757-1761页
作者: Xu, Yifei Long, Zourong Tang, Bin Lei, Siyue Chongqing Univ Technol Chongqing 400054 Peoples R China
In recent years, Convolutional Neural Networks (CNNs) and Visual Transformers have shown remarkable performance in image deraining tasks. However, these state-of-the-art (SOTA) methods exhibit high computational costs... 详细信息
来源: 评论
Multilevel Context Feature Fusion for Semantic Segmentation of ALS Point Cloud
收藏 引用
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2023年 20卷 1-1页
作者: Zeng, Tao Luo, Fulin Guo, Tan Gong, Xiuwen Xue, Jingyun Li, Hanshan Xian Technol Univ Sch Mechatron Engn Xian 710054 Peoples R China Chongqing Univ Coll Comp Sci Chongqing 400044 Peoples R China Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China Univ Sydney Fac Engn Camperdown NSW 2002 Australia
Semantic segmentation of airborne laser scanning (ALS) point clouds using deep learning is a hot research in remote sensing and photogrammetry. A current trend is to aggregate contextual features from different scales... 详细信息
来源: 评论
Enhanced pixel-level crack detection using Att-SegCrack: an improved CNN with feature fusion and large receptive field
收藏 引用
ROAD MATERIALS AND PAVEMENT DESIGN 2025年
作者: Su, Liangliang Huang, Hao Yang, Yalong Liu, Yunlin Niu, Zhen Hu, Qizhi Anhui Jianzhu Univ Anhui Prov Key Lab Intelligent Bldg & Bldg Energy Hefei Peoples R China Anhui Jianzhu Univ Anhui Inst Strateg Study Carbon Dioxide Emiss Peak Hefei Peoples R China Anhui Jianzhu Univ Sch Elect & Informat Engn Hefei Peoples R China Anhui Jianzhu Univ Coll Civil Engn Hefei Peoples R China
Deep convolutional neural networks have demonstrated significant advancements in pavement crack detection. Nevertheless, challenges persist in achieving satisfactory performance due to discontinuous crack edges and lo... 详细信息
来源: 评论
CAE-GAN: A hybrid model for vehicle trajectory prediction
收藏 引用
IET INTELLIGENT TRANSPORT SYSTEMS 2022年 第12期16卷 1682-1696页
作者: Chen, Long Zhou, Qiyang Cai, Yingfeng Wang, Hai Li, Yicheng Jiangsu Univ Automot Engn Res Inst Zhenjiang 212013 Jiangsu Peoples R China Jiangsu Univ Sch Automot & Traff Engn Zhenjiang Jiangsu Peoples R China
Trajectory prediction of surrounding vehicles is a crucial capability of intelligent driving vehicles. In a scene, a vehicle and its surrounding vehicles constitute an integral system, and the vehicle's future mot... 详细信息
来源: 评论
Learning Representations for Facial Actions From Unlabeled Videos
收藏 引用
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2022年 第1期44卷 302-317页
作者: Li, Yong Zeng, Jiabei Shan, Shiguang Chinese Acad Sci Inst Comp Technol CAS Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China CAS Ctr Excellence Brain Sci & Intelligence Techn Beijing 100190 Peoples R China
Facial actions are usually encoded as anatomy-based action units (AUs), the labelling of which demands expertise and thus is time-consuming and expensive. To alleviate the labelling demand, we propose to leverage the ... 详细信息
来源: 评论
ICANet: A LIGHTWEIGHT INCREASING CONTEXT AIDED NETWORK FOR REAL-TIME IMAGE SEMANTIC SEGMENTATION
ICANet: A LIGHTWEIGHT INCREASING CONTEXT AIDED NETWORK FOR R...
收藏 引用
IEEE International Conference on Multimedia and Expo (ICME)
作者: Chen, Lei Dai, Huhe Zheng, Yuan Inner Mongolia Univ Coll Elect Informat Engn Hohhot Peoples R China Inner Mongolia Univ Coll Comp Sci Hohhot Peoples R China
Although existing real-time segmentation methods have reduced the network parameters, they still suffer from slow inference speed. To alleviate this problem, we propose a novel lightweight image segmentation method, c... 详细信息
来源: 评论
Multi-Intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
收藏 引用
IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS 2022年 3卷 126-136页
作者: Wang, Hu Chen, Hao Wu, Qi Ma, Congbo Li, Yidong Univ Adelaide Sch Comp Sci Adelaide SA 5005 Australia Beijing Jiaotong Univ Sch Comp & Informat Technol Beijing 100044 Peoples R China
The control of traffic signals is fundamental and critical to alleviate traffic congestion in urban areas. However, it is challenging since traffic dynamics are complicated in real-world scenarios. Because of the high... 详细信息
来源: 评论
An Optimized Model With encoder-decoder ConvLSTM for Global Ionospheric Forecasting
收藏 引用
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2025年 22卷
作者: Wang, Cheng Xue, Kaiyu Shi, Chuang Beihang Univ Sch Space & Earth Sci Beijing 102206 Peoples R China Beihang Univ Sch Elect Informat Engn Beijing 100191 Peoples R China
The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is commonly used for global navig... 详细信息
来源: 评论