咨询与建议

限定检索结果

文献类型

  • 23,008 篇 会议
  • 126 册 图书
  • 94 篇 期刊文献

馆藏范围

  • 23,227 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 13,631 篇 工学
    • 11,116 篇 计算机科学与技术...
    • 3,481 篇 软件工程
    • 2,445 篇 机械工程
    • 1,716 篇 光学工程
    • 1,080 篇 电气工程
    • 1,014 篇 控制科学与工程
    • 788 篇 信息与通信工程
    • 411 篇 仪器科学与技术
    • 352 篇 生物工程
    • 251 篇 生物医学工程(可授...
    • 196 篇 电子科学与技术(可...
    • 114 篇 化学工程与技术
    • 109 篇 安全科学与工程
    • 100 篇 测绘科学与技术
    • 88 篇 建筑学
    • 88 篇 交通运输工程
    • 84 篇 土木工程
  • 3,495 篇 医学
    • 3,482 篇 临床医学
    • 82 篇 基础医学(可授医学...
  • 3,246 篇 理学
    • 1,941 篇 物理学
    • 1,643 篇 数学
    • 563 篇 统计学(可授理学、...
    • 500 篇 生物学
    • 249 篇 系统科学
    • 106 篇 化学
  • 521 篇 管理学
    • 311 篇 图书情报与档案管...
    • 223 篇 管理科学与工程(可...
    • 76 篇 工商管理
  • 276 篇 艺术学
    • 276 篇 设计学(可授艺术学...
  • 66 篇 法学
    • 63 篇 社会学
  • 38 篇 农学
  • 28 篇 教育学
  • 22 篇 经济学
  • 10 篇 军事学
  • 3 篇 文学

主题

  • 10,186 篇 computer vision
  • 3,967 篇 pattern recognit...
  • 3,005 篇 training
  • 2,007 篇 computational mo...
  • 1,818 篇 visualization
  • 1,815 篇 cameras
  • 1,515 篇 feature extracti...
  • 1,481 篇 shape
  • 1,455 篇 three-dimensiona...
  • 1,438 篇 image segmentati...
  • 1,287 篇 robustness
  • 1,206 篇 computer archite...
  • 1,155 篇 semantics
  • 1,147 篇 conferences
  • 1,107 篇 layout
  • 1,092 篇 computer science
  • 1,088 篇 object detection
  • 1,025 篇 benchmark testin...
  • 970 篇 codes
  • 922 篇 face recognition

机构

  • 136 篇 univ sci & techn...
  • 121 篇 univ chinese aca...
  • 118 篇 chinese univ hon...
  • 105 篇 carnegie mellon ...
  • 101 篇 tsinghua univers...
  • 101 篇 microsoft resear...
  • 95 篇 swiss fed inst t...
  • 93 篇 zhejiang univ pe...
  • 82 篇 university of sc...
  • 81 篇 zhejiang univers...
  • 79 篇 university of ch...
  • 77 篇 shanghai ai lab ...
  • 72 篇 shanghai jiao to...
  • 69 篇 national laborat...
  • 67 篇 microsoft res as...
  • 67 篇 alibaba grp peop...
  • 64 篇 adobe research
  • 60 篇 peking univ peop...
  • 60 篇 tsinghua univ pe...
  • 59 篇 univ oxford oxfo...

作者

  • 81 篇 van gool luc
  • 72 篇 timofte radu
  • 65 篇 zhang lei
  • 47 篇 luc van gool
  • 40 篇 yang yi
  • 40 篇 li stan z.
  • 37 篇 loy chen change
  • 35 篇 chen chen
  • 33 篇 xiaoou tang
  • 32 篇 liu yang
  • 32 篇 qi tian
  • 31 篇 tian qi
  • 31 篇 sun jian
  • 30 篇 murino vittorio
  • 29 篇 ling haibin
  • 29 篇 darrell trevor
  • 29 篇 pascal fua
  • 29 篇 li fei-fei
  • 28 篇 li xin
  • 28 篇 ying shan

语言

  • 22,989 篇 英文
  • 210 篇 其他
  • 22 篇 中文
  • 5 篇 土耳其文
  • 2 篇 日文
检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23228 条 记 录,以下是871-880 订阅
TempT: Temporal consistency for Test-time adaptation
TempT: Temporal consistency for Test-time adaptation
收藏 引用
2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Mutlu, Onur Cezmi Honarmand, Mohammadmahdi Surabhi, Saimourya Wall, Dennis P. Stanford University United States
We introduce Temporal consistency for Test-time adaptation (TempT), a novel method for test-time adaptation on videos through the use of temporal coherence of predictions across sequential frames as a self-supervision... 详细信息
来源: 评论
Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting
Deep density estimation based on multi-spectral remote sensi...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Baghdasaryan, Liana Melikbekyan, Razmik Dolmajain, Arthur Hobbs, Jennifer Intelinair Inc Yerevan Armenia Intelinair Inc Chicago IL USA
Yield forecasting has been a central task in computational agriculture because of its impact on agricultural management from the individual farmer to the government level. With advances in remote sensing technology, c... 详细信息
来源: 评论
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection
SAFDNet: A Simple and Effective Network for Fully Sparse 3D ...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Gang Chen, Junnan Gao, Guohuan Li, Jianmin Liu, Si Hu, Xiaolin Tsinghua Univ Inst AI Dept Comp Sci & Technol BNRist Beijing Peoples R China Huazhong Univ Sci & Technol Wuhan Peoples R China Beijing Inst Technol Beijing Peoples R China Beihang Univ Inst Artificial Intelligence Beijing Peoples R China Tsinghua Lab Brain & Intelligence THBI Beijing Peoples R China Chinese Inst Brain Res CIBR Beijing 100010 Peoples R China
LiDAR-based 3D object detection plays an essential role in autonomous driving. Existing high-performing 3D object detectors usually build dense feature maps in the backbone network and prediction head. However, the co... 详细信息
来源: 评论
PanoPoint: Self-Supervised Feature Points Detection and Description for 360° Panorama
PanoPoint: Self-Supervised Feature Points Detection and Desc...
收藏 引用
2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Zhang, Hengzhi Yi, Hong Jia, Haijing Wang, Wei Odamaki, Makoto Co. Ltd. Beijing China Ricoh Company Ltd. Japan
We introduce PanoPoint, the joint feature point detection and description applied to the nonlinear distortions and the multi-view geometry problems between 360° panoramas. Our fully convolutional model operates d... 详细信息
来源: 评论
Adversarial Robustness through the Lens of Convolutional Filters
Adversarial Robustness through the Lens of Convolutional Fil...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gavrikov, Paul Keuper, Janis Offenburg Univ IMLA Offenburg Germany Fraunhofer ITWM CC HPC Kaiserslautern Germany Fraunhofer Res Ctr ML Kaiserslautern Germany
Deep learning models are intrinsically sensitive to distribution shifts in the input data. In particular, small, barely perceivable perturbations to the input data can force models to make wrong predictions with high ... 详细信息
来源: 评论
OpenSentinelMap: A Large-Scale Land Use Dataset using OpenStreetMap and Sentinel-2 Imagery
OpenSentinelMap: A Large-Scale Land Use Dataset using OpenSt...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Johnson, Noah Treible, Wayne Crispell, Daniel Vis Syst Inc Riverside RI 02915 USA
Remote sensing data is plentiful, but downloading, organizing, and transforming large amounts of data into a format readily usable by modern machine learning methods is a challenging and labor-intensive task. We prese... 详细信息
来源: 评论
Towards Professional Level Crowd Annotation of Expert Domain Data
Towards Professional Level Crowd Annotation of Expert Domain...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Pei Vasconcelos, Nuno Univ Calif San Diego La Jolla CA 92093 USA
Image recognition on expert domains is usually fine-grained and requires expert labeling, which is costly. This limits dataset sizes and the accuracy of learning systems. To address this challenge, we consider annotat... 详细信息
来源: 评论
Content-aware Token Sharing for Efficient Semantic Segmentation with vision Transformers
Content-aware Token Sharing for Efficient Semantic Segmentat...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lu, Chenyang de Geus, Daan Dubbelman, Gijs Eindhoven Univ Technol Eindhoven Netherlands
This paper introduces Content-aware Token Sharing (CTS), a token reduction approach that improves the computational efficiency of semantic segmentation networks that use vision Transformers (ViTs). Existing works have... 详细信息
来源: 评论
Pyramid Ensemble Structure for High Resolution Image Shadow Removal
Pyramid Ensemble Structure for High Resolution Image Shadow ...
收藏 引用
2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Cui, Shuhao Huang, Junshi Tian, Shuman Fan, Mingyuan Zhang, Jiaqi Zhu, Li Wei, Xiaoming Wei, Xiaolin Meituan Group China
Existing methods for shadow removal in high-resolution images may not be effective due to challenges such as the time-consuming nature of training and the loss of visual data during image cropping or resizing, highlig... 详细信息
来源: 评论
Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences
Octree Transformer: Autoregressive 3D Shape Generation on Hi...
收藏 引用
2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Ibing, Moritz Kobsik, Gregor Kobbelt, Leif Rwth Aachen University Visual Computing Institute Germany
Autoregressive models have proven to be very powerful in NLP text generation tasks and lately have gained popularity for image generation as well. However, they have seen limited use for the synthesis of 3D shapes so ... 详细信息
来源: 评论