咨询与建议

限定检索结果

文献类型

  • 3,915 篇 会议
  • 2 篇 期刊文献

馆藏范围

  • 3,917 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 3,011 篇 工学
    • 2,919 篇 计算机科学与技术...
    • 216 篇 软件工程
    • 141 篇 机械工程
    • 133 篇 光学工程
    • 42 篇 生物工程
    • 28 篇 信息与通信工程
    • 25 篇 电气工程
    • 17 篇 控制科学与工程
    • 9 篇 电子科学与技术(可...
    • 9 篇 化学工程与技术
    • 9 篇 交通运输工程
    • 8 篇 生物医学工程(可授...
    • 7 篇 安全科学与工程
    • 4 篇 材料科学与工程(可...
    • 4 篇 建筑学
    • 3 篇 土木工程
    • 3 篇 农业工程
  • 1,559 篇 医学
    • 1,558 篇 临床医学
    • 3 篇 基础医学(可授医学...
  • 174 篇 理学
    • 136 篇 物理学
    • 43 篇 生物学
    • 29 篇 数学
    • 16 篇 统计学(可授理学、...
    • 10 篇 化学
  • 14 篇 管理学
    • 7 篇 管理科学与工程(可...
    • 7 篇 图书情报与档案管...
    • 3 篇 工商管理
  • 5 篇 法学
    • 3 篇 社会学
    • 2 篇 法学
  • 2 篇 教育学
    • 2 篇 教育学
  • 2 篇 农学
  • 1 篇 经济学

主题

  • 2,408 篇 computer vision
  • 1,085 篇 training
  • 1,043 篇 pattern recognit...
  • 805 篇 conferences
  • 709 篇 computational mo...
  • 543 篇 visualization
  • 491 篇 computer archite...
  • 446 篇 three-dimensiona...
  • 410 篇 semantics
  • 409 篇 benchmark testin...
  • 383 篇 codes
  • 331 篇 transformers
  • 290 篇 deep learning
  • 277 篇 feature extracti...
  • 260 篇 neural networks
  • 256 篇 task analysis
  • 238 篇 shape
  • 216 篇 image segmentati...
  • 204 篇 measurement
  • 202 篇 object detection

机构

  • 72 篇 tsinghua univ pe...
  • 59 篇 univ sci & techn...
  • 55 篇 zhejiang univ pe...
  • 55 篇 chinese univ hon...
  • 51 篇 carnegie mellon ...
  • 51 篇 peng cheng lab p...
  • 49 篇 swiss fed inst t...
  • 47 篇 sensetime res pe...
  • 46 篇 shanghai ai lab ...
  • 42 篇 univ hong kong p...
  • 38 篇 huawei noahs ark...
  • 35 篇 univ chinese aca...
  • 35 篇 shanghai jiao to...
  • 33 篇 alibaba grp peop...
  • 32 篇 tech univ munich...
  • 31 篇 stanford univ st...
  • 30 篇 peking univ peop...
  • 30 篇 swiss fed inst t...
  • 29 篇 adobe res san jo...
  • 29 篇 google res mount...

作者

  • 63 篇 timofte radu
  • 30 篇 van gool luc
  • 19 篇 yang yi
  • 19 篇 qiao yu
  • 18 篇 loy chen change
  • 16 篇 zhang lei
  • 16 篇 radu timofte
  • 15 篇 sun jian
  • 14 篇 liu yang
  • 14 篇 liu shuaicheng
  • 14 篇 tao dacheng
  • 13 篇 li xin
  • 13 篇 fan haoqiang
  • 13 篇 chen wei-ting
  • 12 篇 luo ping
  • 12 篇 chen dongdong
  • 12 篇 wang kai
  • 12 篇 wang xinchao
  • 12 篇 torralba antonio
  • 12 篇 ghanem bernard

语言

  • 3,916 篇 英文
  • 1 篇 其他
检索条件"任意字段=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022"
3917 条 记 录,以下是3681-3690 订阅
排序:
Learning Furniture Compatibility with Graph Neural Networks
Learning Furniture Compatibility with Graph Neural Networks
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Luisa F. Polanía Mauricio Flores Matthew Nokleby Yiran Li Target Corporation Sunnyvale California USA
We propose a graph neural network (GNN) approach to the problem of predicting the stylistic compatibility of a set of furniture items from images. While most existing results are based on siamese networks which evalua... 详细信息
来源: 评论
Offline Signature Verification on Real-World Documents
Offline Signature Verification on Real-World Documents
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Deniz Engin Alperen Kantarcı Seçil Arslan Hazım Kemal Ekenel Yapı Kredi Technology Istanbul Technical University
Research on offline signature verification has explored a large variety of methods on multiple signature datasets, which are collected under controlled conditions. However, these datasets may not fully reflect the cha... 详细信息
来源: 评论
Improving deep network robustness to unknown inputs with objectosphere  32
Improving deep network robustness to unknown inputs with obj...
收藏 引用
32nd ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2019
作者: Dhamija, Akshay Raj Günther, Manuel Boult, Terrance E. Vision and Security Technology Lab University of Colorado Colorado Springs
Deep Neural Networks trained on academic datasets often fail when applied to the real world. These failures generally arise from unknown inputs that are not of interest to the system. The mis-classification of these u... 详细信息
来源: 评论
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture recognition
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentri...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Zhengwei Wang Qi She Tejo Chalasani Aljosa Smolic V-SENSE Trinity College Dublin Intel Labs China
Egocentric gestures are the most natural form of communication for humans to interact with wearable devices such as VR/AR helmets and glasses. A major issue in such scenarios for real-world applications is that may ea... 详细信息
来源: 评论
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
NTIRE 2020 Challenge on Video Quality Mapping: Methods and R...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Dario Fuoli Zhiwu Huang Martin Danelljan Radu Timofte Hua Wang Longcun Jin Dewei Su Jing Liu Jaehoon Lee Michal Kudelski Lukasz Bala Dmitry Hrybov Marcin Mozejko Muchen Li Siyao Li Bo Pang Cewu Lu Chao Li Dongliang He Fu Li Shilei Wen Computer Vision Lab ETH Zurich Switzerland School of Software Engineering South China University of Technology Guangdong China Multimedia and Computer Vision Lab East China Normal University Shanghai China Department of Electronics and Computer Engineering Hanyang University Seoul Korea TCL Research Europe Warsaw Poland Machine Vision and Intelligence Group Department of Computer Science Shanghai Jiao Tong University Shanghai China Department of Computer Vision Technology (VIS) Baidu Inc. Beijing China
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQM), which addresses the issues of quality mapping from source video domain to target video domain. The challenge includes both a supervised track... 详细信息
来源: 评论
The MTA Dataset for Multi Target Multi Camera Pedestrian Tracking by Weighted Distance Aggregation
The MTA Dataset for Multi Target Multi Camera Pedestrian Tra...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Philipp Köhl Andreas Specker Arne Schumann Jürgen Beyerer Fraunhofer IOSB Karlsruhe Germany Vision and Fusion Lab Institute for Anthropomatics and Robotics Karlsruhe Germany
Existing multi target multi camera tracking (MTMCT) datasets are small in terms of the number of identities and video length. The creation of new real world datasets is hard as privacy has to be guaranteed and the lab... 详细信息
来源: 评论
Minimizing Supervision in Multi-label Categorization
Minimizing Supervision in Multi-label Categorization
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Rajat Munender Varshney Pravendra Singh Vinay P. Namboodiri Department of Computer Science and Engineering IIT Kanpur India
Multiple categories of objects are present in most images. Treating this as a multi-class classification is not justified. We treat this as a multi-label classification problem. In this paper, we further aim to minimi... 详细信息
来源: 评论
Multi-view vehicle re-identification using temporal attention model and metadata re-ranking  32
Multi-view vehicle re-identification using temporal attentio...
收藏 引用
32nd ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2019
作者: Huang, Tsung-Wei Cai, Jiarui Yang, Hao Hsu, Hung-Min Hwang, Jenq-Neng Department of Electrical and Computer Engineering University of Washington United States Department of Civil and Environmental Engineering University of Washington United States Research Center for Information Technology Innovation Academia Sinica Taiwan
Object re-identification (ReID) is an arduous task which requires matching an object across different non-overlapping camera views. Recently, many researchers are working on person ReID by taking advantages of appeara... 详细信息
来源: 评论
Deep Transfer Learning For Plant Center Localization
Deep Transfer Learning For Plant Center Localization
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Enyu Cai Sriram Baireddy Changye Yang Melba Crawford Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA School of Civil Engineering Purdue University West Lafayette Indiana USA
Plant phenotyping focuses on the measurement of plant characteristics throughout the growing season, typically with the goal of evaluating genotypes for plant breeding. Estimating plant location is important for ident... 详细信息
来源: 评论
A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize
A Novel Technique Combining Image Processing, Plant Developm...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Nazifa Azam Khan Oliver A. S. Lyon Mark Eramian Ian McQuillan Department of Computer Science University of Saskatchewan Saskatoon SK Canada School of Computing Queen’s University Kingston ON Canada
Manual determination of plant phenotypic properties such as plant architecture, growth, and health is very time consuming and sometimes destructive. Automatic image analysis has become a popular approach. This researc... 详细信息
来源: 评论