咨询与建议

限定检索结果

文献类型

  • 23,135 篇 会议
  • 91 篇 期刊文献
  • 15 册 图书

馆藏范围

  • 23,240 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
    • 11,162 篇 计算机科学与技术...
    • 3,337 篇 软件工程
    • 2,414 篇 机械工程
    • 1,662 篇 光学工程
    • 1,204 篇 电气工程
    • 973 篇 控制科学与工程
    • 738 篇 信息与通信工程
    • 381 篇 仪器科学与技术
    • 322 篇 生物工程
    • 239 篇 生物医学工程(可授...
    • 188 篇 电子科学与技术(可...
    • 109 篇 化学工程与技术
    • 104 篇 安全科学与工程
    • 99 篇 测绘科学与技术
    • 85 篇 建筑学
    • 82 篇 土木工程
    • 82 篇 交通运输工程
    • 56 篇 力学(可授工学、理...
  • 3,696 篇 医学
    • 3,684 篇 临床医学
    • 76 篇 基础医学(可授医学...
  • 3,137 篇 理学
    • 1,880 篇 物理学
    • 1,604 篇 数学
    • 547 篇 统计学(可授理学、...
    • 466 篇 生物学
    • 243 篇 系统科学
    • 107 篇 化学
  • 491 篇 管理学
    • 290 篇 图书情报与档案管...
    • 212 篇 管理科学与工程(可...
    • 74 篇 工商管理
  • 252 篇 艺术学
    • 251 篇 设计学(可授艺术学...
  • 58 篇 法学
  • 38 篇 农学
  • 25 篇 教育学
  • 19 篇 经济学
  • 10 篇 军事学
  • 3 篇 文学

主题

  • 10,396 篇 computer vision
  • 3,893 篇 pattern recognit...
  • 3,101 篇 training
  • 2,104 篇 computational mo...
  • 1,898 篇 visualization
  • 1,800 篇 cameras
  • 1,487 篇 feature extracti...
  • 1,475 篇 three-dimensiona...
  • 1,464 篇 shape
  • 1,447 篇 image segmentati...
  • 1,287 篇 robustness
  • 1,234 篇 computer archite...
  • 1,213 篇 semantics
  • 1,112 篇 benchmark testin...
  • 1,111 篇 conferences
  • 1,104 篇 layout
  • 1,093 篇 object detection
  • 1,085 篇 computer science
  • 1,026 篇 codes
  • 907 篇 face recognition

机构

  • 137 篇 univ sci & techn...
  • 124 篇 univ chinese aca...
  • 121 篇 chinese univ hon...
  • 108 篇 tsinghua univers...
  • 108 篇 carnegie mellon ...
  • 105 篇 microsoft resear...
  • 97 篇 zhejiang univ pe...
  • 91 篇 swiss fed inst t...
  • 85 篇 university of sc...
  • 84 篇 zhejiang univers...
  • 81 篇 shanghai ai lab ...
  • 79 篇 university of ch...
  • 75 篇 shanghai jiao to...
  • 69 篇 microsoft res as...
  • 68 篇 alibaba grp peop...
  • 66 篇 adobe research
  • 65 篇 national laborat...
  • 64 篇 peking univ peop...
  • 61 篇 univ oxford oxfo...
  • 59 篇 peng cheng labor...

作者

  • 80 篇 van gool luc
  • 71 篇 timofte radu
  • 65 篇 zhang lei
  • 43 篇 luc van gool
  • 40 篇 yang yi
  • 37 篇 loy chen change
  • 34 篇 li stan z.
  • 33 篇 liu yang
  • 33 篇 xiaoou tang
  • 33 篇 murino vittorio
  • 33 篇 chen chen
  • 33 篇 qi tian
  • 33 篇 li fei-fei
  • 32 篇 tian qi
  • 32 篇 sun jian
  • 30 篇 ying shan
  • 30 篇 pascal fua
  • 29 篇 darrell trevor
  • 28 篇 li xin
  • 28 篇 hanqing lu

语言

  • 23,162 篇 英文
  • 52 篇 其他
  • 20 篇 中文
  • 5 篇 土耳其文
  • 2 篇 日文
检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23241 条 记 录,以下是4891-4900 订阅
排序:
Training Generative Adversarial Networks in One Stage
Training Generative Adversarial Networks in One Stage
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shen, Chengchao Yin, Youtan Wang, Xinchao Li, Xubin Song, Jie Song, Mingli Zhejiang Univ Hangzhou Peoples R China Natl Univ Singapore Singapore Singapore Alibaba Grp Hangzhou Peoples R China Zhejiang Lab Hangzhou Peoples R China Stevens Inst Technol Hoboken NJ 07030 USA
Generative Adversarial Networks (GANs) have demonstrated unprecedented success in various image generation tasks. The encouraging results, however, come at the price of a cumbersome training process, during which the ... 详细信息
来源: 评论
Uncertainty-Aware Camera Pose Estimation from Points and Lines
Uncertainty-Aware Camera Pose Estimation from Points and Lin...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Vakhitov, Alexander Ferraz Colomina, Luis Agudo, Antonio Moreno-Noguer, Francesc SLAMCore Ltd London England Kognia Sports Intelligence Barcelona Spain CSIC UPC Inst Robot & Informat Ind Barcelona Spain
Perspective-n-Point-and-Line (PnPL) algorithms aim at fast, accurate, and robust camera localization with respect to a 3D model from 2D-3D feature correspondences, being a major part of modern robotic and AR/VR system... 详细信息
来源: 评论
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
CFNet: Cascade and Fused Cost Volume for Robust Stereo Match...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shen, Zhelun Dai, Yuchao Rao, Zhibo Northwestern Polytech Univ Xian Peoples R China Peking Univ Beijing Peoples R China
Recently, the ever-increasing capacity of large-scale annotated datasets has led to profound progress in stereo matching. However, most of these successes are limited to a specific dataset and cannot generalize well t... 详细信息
来源: 评论
Curriculum Learning for Data-Efficient vision-Language Alignment
Curriculum Learning for Data-Efficient Vision-Language Align...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Tejas Srinivasan Xiang Ren Jesse Thomason University of Southern California
Aligning image and text encoders from scratch using contrastive learning requires large amounts of paired image-text data. We alleviate this need by aligning individually pre-trained language and vision representation...
来源: 评论
Region-Adaptive Deformable Network for Image Quality Assessment
Region-Adaptive Deformable Network for Image Quality Assessm...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shi, Shuwei Bai, Qingyan Cao, Mingdeng Xia, Weihao Wang, Jiahao Chen, Yifan Yang, Yujiu Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China
Image quality assessment (IQA) aims to assess the perceptual quality of images. The outputs of the IQA algorithms are expected to be consistent with human subjective perception. In image restoration and enhancement ta... 详细信息
来源: 评论
Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation
Refine Myself by Teaching Myself : Feature Refinement via Se...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ji, Mingi Shin, Seungjae Hwang, Seunghyun Park, Gibeom Moon, Il-Chul Korea Adv Inst Sci & Technol KAIST Daejeon South Korea Looko Inc Los Angeles CA USA Summary AI Seoul South Korea
Knowledge distillation is a method of transferring the knowledge from a pretrained complex teacher model to a student model, so a smaller network can replace a large teacher network at the deployment stage. To reduce ... 详细信息
来源: 评论
Seeing Out of tHe bOx: End-to-End Pre-training for vision-Language Representation Learning
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-La...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Huang, Zhicheng Zeng, Zhaoyang Huang, Yupan Liu, Bei Fu, Dongmei Fu, Jianlong Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing Peoples R China Beijing Engn Res Ctr Ind Spectrum Imaging Beijing Peoples R China Sun Yat Sen Univ Guangzhou Peoples R China Microsoft Res Asia Beijing Peoples R China
We study joint learning of Convolutional Neural Network (CNN) and Transformer for vision-language pre-training (VLPT) which aims to learn cross-modal alignments from millions of image-text pairs. State-of-the-art appr... 详细信息
来源: 评论
Self-Supervised Visibility Learning for Novel View Synthesis
Self-Supervised Visibility Learning for Novel View Synthesis
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shi, Yujiao Li, Hongdong Yu, Xin Australian Natl Univ Canberra ACT Australia ACRV Canberra ACT Australia Univ Technol Sydney Sydney NSW Australia
We address the problem of novel view synthesis (NVS) from a few sparse source view images. Conventional image-based rendering methods estimate scene geometry and synthesize novel views in two separate steps. However, ... 详细信息
来源: 评论
AnimalFormer: Multimodal vision Framework for Behavior-based Precision Livestock Farming
AnimalFormer: Multimodal Vision Framework for Behavior-based...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Ahmed Qazi Taha Razzaq Asim Iqbal Tibbling Technologies
We introduce a multimodal vision framework for precision livestock farming, harnessing the power of GroundingDINO, HQSAM, and ViTPose models. This integrated suite enables comprehensive behavioral analytics from video... 详细信息
来源: 评论
Interpreting Super-Resolution Networks with Local Attribution Maps
Interpreting Super-Resolution Networks with Local Attributio...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gu, Jinjin Dong, Chao Univ Sydney Sch Elect & Informat Engn Sydney NSW Australia Chinese Acad Sci Shenzhen Inst Adv Technol Key Lab Human Machine Intelligence Synergy Syst Shenzhen Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc SIAT Branch Shenzhen Peoples R China
Image super-resolution (SR) techniques have been developing rapidly, benefiting from the invention of deep networks and its successive breakthroughs. However, it is acknowledged that deep learning and deep neural netw... 详细信息
来源: 评论