咨询与建议

限定检索结果

文献类型

  • 551 篇 期刊文献
  • 335 篇 会议
  • 15 篇 学位论文
  • 1 册 图书

馆藏范围

  • 902 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 847 篇 工学
    • 570 篇 计算机科学与技术...
    • 324 篇 电气工程
    • 130 篇 软件工程
    • 88 篇 信息与通信工程
    • 77 篇 控制科学与工程
    • 58 篇 仪器科学与技术
    • 48 篇 测绘科学与技术
    • 40 篇 生物医学工程(可授...
    • 33 篇 土木工程
    • 28 篇 环境科学与工程(可...
    • 27 篇 机械工程
    • 24 篇 电子科学与技术(可...
    • 19 篇 石油与天然气工程
    • 14 篇 动力工程及工程热...
    • 11 篇 水利工程
    • 10 篇 光学工程
    • 10 篇 材料科学与工程(可...
    • 10 篇 交通运输工程
    • 9 篇 力学(可授工学、理...
    • 8 篇 建筑学
  • 187 篇 理学
    • 82 篇 物理学
    • 47 篇 地球物理学
    • 35 篇 生物学
    • 26 篇 化学
    • 12 篇 数学
  • 171 篇 医学
    • 130 篇 临床医学
    • 26 篇 基础医学(可授医学...
    • 21 篇 特种医学
  • 61 篇 管理学
    • 56 篇 管理科学与工程(可...
  • 10 篇 文学
    • 8 篇 外国语言文学
  • 7 篇 农学
  • 5 篇 艺术学
  • 2 篇 法学
  • 1 篇 经济学
  • 1 篇 教育学

主题

  • 902 篇 encoder-decoder
  • 159 篇 deep learning
  • 81 篇 attention mechan...
  • 60 篇 attention
  • 54 篇 semantic segment...
  • 48 篇 feature extracti...
  • 46 篇 lstm
  • 38 篇 transformer
  • 36 篇 decoding
  • 35 篇 convolutional ne...
  • 32 篇 cnn
  • 24 篇 semantics
  • 22 篇 image captioning
  • 22 篇 u-net
  • 22 篇 convolutional ne...
  • 21 篇 speech recogniti...
  • 20 篇 task analysis
  • 20 篇 machine learning
  • 19 篇 long short-term ...
  • 18 篇 image segmentati...

机构

  • 8 篇 univ chinese aca...
  • 8 篇 univ sci & techn...
  • 6 篇 chinese acad sci...
  • 6 篇 univ sci & techn...
  • 6 篇 univ sci & techn...
  • 5 篇 nanjing univ sci...
  • 4 篇 jiangnan univ sc...
  • 4 篇 microsoft corp r...
  • 4 篇 chongqing univ c...
  • 4 篇 wuhan univ sch r...
  • 4 篇 shenyang siasun ...
  • 4 篇 southeast univ s...
  • 4 篇 univ sci & techn...
  • 4 篇 toyota technol i...
  • 4 篇 iflytek res peop...
  • 4 篇 google inc mount...
  • 4 篇 shanghai jiao to...
  • 4 篇 northeastern uni...
  • 4 篇 tianjin univ sch...
  • 4 篇 chinese acad sci...

作者

  • 8 篇 watanabe shinji
  • 7 篇 du jun
  • 6 篇 liu yang
  • 6 篇 chen kai
  • 6 篇 zhang jianshu
  • 5 篇 ling zhen-hua
  • 5 篇 zhang limao
  • 5 篇 wang feng
  • 5 篇 wang jun
  • 4 篇 gaur yashesh
  • 4 篇 zhang chunyu
  • 4 篇 wu chengdong
  • 4 篇 wang qing
  • 4 篇 wang bing
  • 4 篇 li chen
  • 4 篇 song xiao
  • 4 篇 xu bo
  • 4 篇 xu fang
  • 4 篇 jiao licheng
  • 4 篇 toshniwal shubha...

语言

  • 839 篇 英文
  • 31 篇 中文
  • 29 篇 其他
  • 3 篇 法文
  • 1 篇 德文
检索条件"主题词=encoder-decoder"
902 条 记 录,以下是781-790 订阅
排序:
DLIFT: A deep-learning-based intelligent fund transaction system for financial Internet of Things
收藏 引用
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2021年 第22期33卷 e5982-e5982页
作者: Hu, Gang Xiang, Zhuoyuan Zhang, Yin Hossain, M. Shamim Zhongnan Univ Econ & Law Sch Informat & Safety Engn Wuhan Peoples R China Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Peoples R China King Saud Univ Comp Informat Sci Riyadh Saudi Arabia
Analyzing the correlation between two funds can help investors control investment risks and optimize investment portfolios, which has a strong guiding significance for fund investment in reality. Constructing an intel... 详细信息
来源: 评论
Absolute Phase Unwrapping with Deep Neural Network for Structured Light 3D Reconstruction
Absolute Phase Unwrapping with Deep Neural Network for Struc...
收藏 引用
第33届中国控制与决策会议
作者: Wan Chang Sen Xiang Huiping Deng Jin Wu School of Information Science and Engineering Wuhan University of Science and Technology Engin.Research Center of Metallurgical Auto.and Measurement Tech. Ministry of Education
Phase-coding structured light is an important technique in 3 D ***,a great challenge is the wrapped phase that causes geometry *** unwrapping methods such as spatial and temporal approaches face the problem of error p... 详细信息
来源: 评论
A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem
收藏 引用
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 2019年 151卷 223-236页
作者: Mohammadimanesh, Fariba Salehi, Bahram Mandianpari, Masoud Gill, Eric Molinier, Matthieu C CORE Capt Robert A Bartlett Bldg1 Morrissey Rd St John NF A1B 3X5 Canada Mem Univ Newfoundland Dept Elect & Comp Engn St John NF A1C 5S7 Canada SUNY Coll Environm Sci & Forestry Environm Resources Engn Syracuse NY 13210 USA VTT Tech Res Ctr Finland Ltd Oulu Finland
Despite the application of state-of-the-art fully Convolutional Neural Networks (CNNs) for semantic segmentation of very high-resolution optical imagery, their capacity has not yet been thoroughly examined for the cla... 详细信息
来源: 评论
Neural Image Caption Generation with Weighted Training and Reference
收藏 引用
COGNITIVE COMPUTATION 2019年 第6期11卷 763-777页
作者: Ding, Guiguang Chen, Minghai Zhao, Sicheng Chen, Hui Han, Jungong Liu, Qiang Tsinghua Univ Sch Software Beijing 100084 Peoples R China Univ Lancaster Comp & Commun Lancaster England
Image captioning, which aims to automatically generate a sentence description for an image, has attracted much research attention in cognitive computing. The task is rather challenging, since it requires cognitively c... 详细信息
来源: 评论
Refined Spatial Network for Human Action Recognition
收藏 引用
IEEE ACCESS 2019年 7卷 111043-111052页
作者: Wu, Chunlei Cao, Haiwen Zhang, Weishan Wang, Leiquan Wei, Yiwei Peng, Zexin China Univ Petr Coll Comp & Commun Engn Qingdao 266580 Shandong Peoples R China China Univ Petr Sch Petr Engn Beijing 102249 Peoples R China
Effective video representation is a key ingredient in action recognition, but how to learn effective spatial features remains a fundamental and challenging task. The existing CNN-based methods apply low-resolution fea... 详细信息
来源: 评论
Attention-Based Convolutional LSTM for Describing Video
收藏 引用
IEEE ACCESS 2020年 8卷 133713-133724页
作者: Liu, Zhongyu Chen, Tian Ding, Enjie Liu, Yafeng Yu, Wanli China Univ Min & Technol Sch Informat & Control Engn Xuzhou 221008 Jiangsu Peoples R China China Univ Min & Technol IOT Percept Mine Res Ctr Xuzhou 221000 Jiangsu Peoples R China Univ Bremen Inst Electrodynam & Microelect D-28359 Bremen Germany
Video description technique has been widely used in the computer community for many applications. The typical approaches are mainly based on the encode-decode framework: the fixed-length video representation vectors a... 详细信息
来源: 评论
Hybrid Attention Distribution and Factorized Embedding Matrix in Image Captioning
收藏 引用
IEEE ACCESS 2020年 8卷 154453-154460页
作者: Wang, Jian Feng, Jie Zhejiang Sci Tech Univ Sch Informat Sci & Technol Hangzhou 310018 Peoples R China
Self-attention mechanisms are widely used in current encoder-decoder frameworks of image-captioning tasks. These mechanisms use the transformer module as the basic unit to compute the similarity between query and key ... 详细信息
来源: 评论
A Multi-Level Attention Model for Remote Sensing Image Captions
收藏 引用
REMOTE SENSING 2020年 第6期12卷 939-939页
作者: Li, Yangyang Fang, Shuangkang Jiao, Licheng Liu, Ruijiao Shang, Ronghua Xidian Univ Key Lab Intelligent Percept & Image Understanding Minist EducSch Artificial Intelligence Int Res Ctr Intelligent Percept & ComputatJoint Xian 710071 Peoples R China
The task of image captioning involves the generation of a sentence that can describe an image appropriately, which is the intersection of computer vision and natural language. Although the research on remote sensing i... 详细信息
来源: 评论
Segment boundary detection directed attention for online end-to-end speech recognition
收藏 引用
EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING 2020年 第1期2020卷 3-3页
作者: Hou, Junfeng Guo, Wu Song, Yan Dai, Li-Rong Univ Sci & Technol China Natl Engn Lab Speech & Language Informat Proc Hefei 230022 Peoples R China
Attention-based encoder-decoder models have recently shown competitive performance for automatic speech recognition (ASR) compared to conventional ASR systems. However, how to employ attention models for online speech... 详细信息
来源: 评论
SELF-ATTENTION ALIGNER: A LATENCY-CONTROL END-TO-END MODEL FOR ASR USING SELF-ATTENTION NETWORK AND CHUNK-HOPPING  44
SELF-ATTENTION ALIGNER: A LATENCY-CONTROL END-TO-END MODEL F...
收藏 引用
44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Dong, Linhao Wang, Feng Xu, Bo Chinese Acad Sci Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
Self-attention network, an attention-based feedforward neural network, has recently shown the potential to replace recurrent neural networks (RNNs) in a variety of NLP tasks. However, it is not clear if the self-atten... 详细信息
来源: 评论