咨询与建议

限定检索结果

文献类型

  • 7,800 篇 会议
  • 777 篇 期刊文献
  • 40 册 图书

馆藏范围

  • 8,617 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 5,343 篇 工学
    • 3,957 篇 计算机科学与技术...
    • 2,199 篇 电气工程
    • 1,571 篇 软件工程
    • 829 篇 信息与通信工程
    • 787 篇 控制科学与工程
    • 522 篇 生物医学工程(可授...
    • 424 篇 光学工程
    • 310 篇 生物工程
    • 300 篇 电子科学与技术(可...
    • 277 篇 仪器科学与技术
    • 234 篇 机械工程
    • 229 篇 测绘科学与技术
    • 117 篇 交通运输工程
    • 88 篇 材料科学与工程(可...
    • 80 篇 安全科学与工程
    • 74 篇 环境科学与工程(可...
    • 69 篇 化学工程与技术
  • 1,527 篇 理学
    • 625 篇 物理学
    • 575 篇 数学
    • 318 篇 生物学
    • 179 篇 地球物理学
    • 139 篇 化学
    • 136 篇 统计学(可授理学、...
    • 86 篇 系统科学
  • 759 篇 医学
    • 562 篇 临床医学
    • 230 篇 特种医学
    • 164 篇 基础医学(可授医学...
    • 85 篇 药学(可授医学、理...
  • 660 篇 管理学
    • 529 篇 管理科学与工程(可...
    • 164 篇 图书情报与档案管...
  • 80 篇 农学
  • 39 篇 法学
  • 17 篇 教育学
  • 17 篇 军事学
  • 17 篇 艺术学
  • 14 篇 经济学
  • 6 篇 文学

主题

  • 954 篇 image processing
  • 948 篇 computational mo...
  • 752 篇 image segmentati...
  • 609 篇 feature extracti...
  • 420 篇 deep learning
  • 328 篇 computational in...
  • 309 篇 image edge detec...
  • 309 篇 training
  • 302 篇 image reconstruc...
  • 301 篇 artificial intel...
  • 284 篇 computer archite...
  • 271 篇 neural networks
  • 247 篇 signal processin...
  • 228 篇 cameras
  • 222 篇 image coding
  • 209 篇 computational ef...
  • 200 篇 object detection
  • 195 篇 visualization
  • 177 篇 computer vision
  • 168 篇 computational co...

机构

  • 21 篇 obuda univ john ...
  • 18 篇 univ chinese aca...
  • 16 篇 xi an jiao tong ...
  • 15 篇 xidian univ sch ...
  • 15 篇 tianjin univ col...
  • 14 篇 signal and image...
  • 14 篇 shanghai jiao to...
  • 14 篇 john von neumann...
  • 13 篇 peng cheng lab p...
  • 12 篇 shanghai jiao to...
  • 11 篇 univ chinese aca...
  • 11 篇 northwestern pol...
  • 11 篇 huazhong univ sc...
  • 10 篇 department of co...
  • 10 篇 school of artifi...
  • 10 篇 tsinghua univ de...
  • 10 篇 city univ hong k...
  • 9 篇 chinese acad sci...
  • 9 篇 incept inst arti...
  • 9 篇 natl univ singap...

作者

  • 17 篇 licheng jiao
  • 17 篇 zheng nanning
  • 16 篇 jiao licheng
  • 13 篇 li xin
  • 13 篇 zeng zhigang
  • 12 篇 fabio scotti
  • 12 篇 vincenzo piuri
  • 11 篇 zhang mengjie
  • 10 篇 guangtao zhai
  • 10 篇 song li
  • 10 篇 yang yang
  • 10 篇 angelo genovese
  • 10 篇 zoltán vámossy
  • 9 篇 szenasi sandor
  • 9 篇 kozlovszky miklo...
  • 9 篇 tefas anastasios
  • 9 篇 wang qi
  • 8 篇 liu yang
  • 8 篇 shi guangming
  • 8 篇 pitas ioannis

语言

  • 8,330 篇 英文
  • 237 篇 其他
  • 44 篇 中文
  • 6 篇 土耳其文
  • 1 篇 西班牙文
  • 1 篇 葡萄牙文
检索条件"任意字段=IEEE Symposium on Computational Intelligence for Image Processing"
8617 条 记 录,以下是121-130 订阅
排序:
Deep image Feature Learning With Fuzzy Rules
收藏 引用
ieee TRANSACTIONS ON EMERGING TOPICS IN computational intelligence 2024年 第1期8卷 724-737页
作者: Ma, Xiang Chen, Liangzhe Deng, Zhaohong Xu, Peng Yan, Qisheng Choi, Kup-Sze Wang, Shitong Jiangnan Univ Sch Artificial Intelligence & Comp Sci Jiangsu Key Lab Digital Design & Software Technol Wuxi 214122 Peoples R China East China Inst Technol Sch Sci Nanchang 330013 Peoples R China Hong Kong Polytech Univ Ctr Smart Hlth Hong Kong 100872 Peoples R China
Feature extraction methods are key to many image processing tasks. At present, the most popular method is to use a deep neural network to automatically extract features through end-to-end training instead of the tradi... 详细信息
来源: 评论
CREAMY: Cross-Modal Recipe Retrieval By Avoiding Matching Imperfectly
收藏 引用
ieee ACCESS 2024年 12卷 33283-33295页
作者: Zou, Zhuoyang Zhu, Xinghui Zhu, Qinying Liu, Yi Zhu, Lei Hunan Agr Univ Coll Informat & Intelligence Changsha 410128 Peoples R China
State-of-the-art methods for cross-modal recipe retrieval failed to consider an underlying but challenging issue, i.e., matching imperfectly problem hidden in positive image-recipe pairs, which is a culprit causing ov... 详细信息
来源: 评论
LIGHTWEIGHT DISASTER SEMANTIC SEGMENTATION FOR UAV ON-DEVICE intelligence
LIGHTWEIGHT DISASTER SEMANTIC SEGMENTATION FOR UAV ON-DEVICE...
收藏 引用
ieee International Geoscience and Remote Sensing symposium (IGARSS)
作者: Lee, Hanbin Kim, Gihwan Ha, Sangho Kim, Hyungshin Chungnam Natl Univ Dept Comp Sci & Engn Embedded Syst Lab ESLAB Daejeon South Korea
Unmanned aerial vehicles (UAVs) are being used for monitoring natural disasters. To promptly assess the severity of the disaster, it is advantageous to analyze the disaster scenes with the on-board computer in real ti... 详细信息
来源: 评论
MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease
收藏 引用
ieee TRANSACTIONS ON EMERGING TOPICS IN computational intelligence 2025年 第2期9卷 1454-1468页
作者: Ye, Jiayu Pan, Dan Zeng, An Zhang, Yiqun Chen, Qiuping Liu, Yang Alzheimers Disease Neuroimaging Initiative Guangdong Univ Technol Sch Comp Sci Guangzhou 510006 Peoples R China Guangdong Polytech Normal Univ Sch Elect & Informat Guangzhou 510665 Peoples R China Jinan Univ Guangzhou Overseas Chinese Hosp Dept Neurol Affiliated Hosp 1 Guangzhou 510630 Peoples R China Guangzhou Univ Chinese Med Clin Coll 5 Guangzhou 510006 Peoples R China
Deep learning models are widely used in medical image-guided disease recognition and have achieved outstanding performance. Voxel-based models are typically the default choice for deep learning-based MRI analysis, whi... 详细信息
来源: 评论
DiffHSR: Unleashing Diffusion Priors in Hyperspectral image Super-Resolution
收藏 引用
ieee SIGNAL processing LETTERS 2025年 32卷 236-240页
作者: Jia, Yizhen Xie, Yumeng An, Ping Tian, Zhen Hua, Xia Shanghai Univ Sch Commun & Informat Engn Shanghai 200444 Peoples R China Guangdong Lab Artificial Intelligence & Digital Ec Shenzhen 518000 Peoples R China
Hyperspectral images provide rich spectral information and have been widely applied in numerous computer vision tasks. However, their low spatial resolution often limits their use in applications such as image segment... 详细信息
来源: 评论
ENHANCED DETECTION OF SMALL OBJECTS IN AERIAL imageRY: A HIGH-RESOLUTION NEURAL NETWORK APPROACH WITH AMPLIFIED FEATURE PYRAMID AND SIGMOID RE-WEIGHTING  31
ENHANCED DETECTION OF SMALL OBJECTS IN AERIAL IMAGERY: A HIG...
收藏 引用
2024 International Conference on image processing
作者: Park, Chanyeong Jang, Junbo Kim, Heegwang Paik, Joonki Chung Ang Univ Dept Image Seoul South Korea Chung Ang Univ Dept Artificial Intelligence Seoul South Korea
Detecting small objects in drone-captured images or aerial videos is challenging due to their minimal representation. As data traverses deep learning networks, the information about small objects can diminish, making ... 详细信息
来源: 评论
Optimizing for Edge-AI Based Satellite image processing: A Survey of Techniques
Optimizing for Edge-AI Based Satellite Image Processing: A S...
收藏 引用
2024 ieee Mediterranean and Middle-East Geoscience and Remote Sensing symposium, M2GARSS 2024
作者: Boucetta, Anfal Yousra Baziz, Meriem Hamdad, Leila Allal, Imed Namla Networks Algiers Algeria Higher National School of Computer Science Algiers Algeria
Higher autonomy in satellite operations is considered a significant game-changer for the space systems market in the coming decade, with numerous agencies and startups focusing on integrating machine learning into spa... 详细信息
来源: 评论
SSMamba: Superpixel Segmentation With Mamba
收藏 引用
ieee SIGNAL processing LETTERS 2025年 32卷 1715-1719页
作者: Jia, Xiaohong Li, Yonghui Jiao, Jianjun Zhao, Yao Xia, Zhiwei Lanzhou Jiaotong Univ Sch Elect & Informat Engn Lanzhou 730070 Peoples R China Beijing Jiaotong Univ Key Lab Big Data & Artiffcial Intelligence Transpo Ministr Educ Beijing 100044 Peoples R China Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China
Deep convolutional networks have achieved remarkable success in superpixel segmentation. However, they only focus on local features ignoring global attributes. The visual Mamba demonstrates an exceptional capability t... 详细信息
来源: 评论
AI-Explained (Part I) [Guest Editorial]
收藏 引用
ieee computational intelligence Magazine 2023年 第4期18卷 58-59页
作者: Chung, Pau-Choo Dockhorn, Alexander Huang, Jen-Wei National Cheng Kung University Taiwan Leibniz University Germany
As we witness the remarkable progress of artificial intelligence (AI) over the last decade, its potential to address real-world complexities and revolutionize various fields has become evident. From image processing t... 详细信息
来源: 评论
Online Layer-Aware Joint Request Scheduling, Container Placement, and Resource Provision in Edge Computing
收藏 引用
ieee TRANSACTIONS ON SERVICES COMPUTING 2025年 第1期18卷 328-341页
作者: Li, Zhenzheng Lou, Jiong Tang, Zhiqing Guo, Jianxiong Wang, Tian Jia, Weijia Zhao, Wei Beijing Normal Univ Sch Artificial Intelligence Beijing 100875 Peoples R China Beijing Normal Univ Inst Artificial Intelligence & Future Networks Zhuhai 519087 Peoples R China Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai 200240 Peoples R China BNU HKBU United Int Coll Guangdong Key Lab AI & Multimodal Data Proc Zhuhai 519087 Peoples R China Shenzhen Univ Adv Technol Shenzhen 518055 Peoples R China
Containers have emerged as a pivotal tool for service deployment in edge computing. Before running the container, an image composed of several layers must exist locally. Recent strategies have utilized layer-sharing i... 详细信息
来源: 评论