咨询与建议

限定检索结果

文献类型

  • 29,388 篇 会议
  • 1,371 册 图书
  • 224 篇 期刊文献

馆藏范围

  • 30,981 篇 电子文献
  • 2 种 纸本馆藏

日期分布

学科分类号

  • 17,275 篇 工学
    • 13,621 篇 计算机科学与技术...
    • 5,199 篇 软件工程
    • 2,971 篇 机械工程
    • 2,644 篇 光学工程
    • 1,410 篇 控制科学与工程
    • 1,408 篇 电气工程
    • 1,333 篇 信息与通信工程
    • 656 篇 生物工程
    • 576 篇 仪器科学与技术
    • 513 篇 生物医学工程(可授...
    • 465 篇 电子科学与技术(可...
    • 251 篇 化学工程与技术
    • 212 篇 安全科学与工程
    • 140 篇 交通运输工程
    • 132 篇 建筑学
    • 121 篇 材料科学与工程(可...
    • 119 篇 土木工程
  • 5,056 篇 理学
    • 3,128 篇 物理学
    • 2,405 篇 数学
    • 824 篇 生物学
    • 802 篇 统计学(可授理学、...
    • 299 篇 系统科学
    • 228 篇 化学
  • 3,831 篇 医学
    • 3,799 篇 临床医学
    • 186 篇 基础医学(可授医学...
    • 140 篇 药学(可授医学、理...
  • 1,060 篇 管理学
    • 617 篇 图书情报与档案管...
    • 468 篇 管理科学与工程(可...
    • 145 篇 工商管理
  • 373 篇 艺术学
    • 373 篇 设计学(可授艺术学...
  • 116 篇 法学
  • 81 篇 农学
  • 48 篇 教育学
  • 43 篇 经济学
  • 18 篇 军事学
  • 8 篇 文学

主题

  • 12,593 篇 computer vision
  • 5,697 篇 pattern recognit...
  • 3,181 篇 training
  • 2,263 篇 cameras
  • 2,178 篇 computational mo...
  • 2,116 篇 feature extracti...
  • 2,049 篇 image segmentati...
  • 1,970 篇 visualization
  • 1,967 篇 shape
  • 1,642 篇 robustness
  • 1,491 篇 layout
  • 1,476 篇 three-dimensiona...
  • 1,444 篇 computer science
  • 1,338 篇 computer archite...
  • 1,296 篇 object detection
  • 1,220 篇 semantics
  • 1,142 篇 face recognition
  • 1,107 篇 conferences
  • 1,077 篇 benchmark testin...
  • 1,056 篇 humans

机构

  • 137 篇 univ sci & techn...
  • 134 篇 tsinghua univers...
  • 134 篇 univ chinese aca...
  • 118 篇 chinese univ hon...
  • 101 篇 microsoft resear...
  • 97 篇 zhejiang univers...
  • 94 篇 national laborat...
  • 93 篇 shanghai jiao to...
  • 93 篇 zhejiang univ pe...
  • 85 篇 university of sc...
  • 79 篇 shanghai ai lab ...
  • 78 篇 swiss fed inst t...
  • 65 篇 microsoft res as...
  • 62 篇 adobe research
  • 62 篇 computer vision ...
  • 61 篇 peking univ peop...
  • 58 篇 univ oxford oxfo...
  • 57 篇 google mountain ...
  • 57 篇 hong kong univ s...
  • 56 篇 google res mount...

作者

  • 107 篇 umapada pal
  • 81 篇 van gool luc
  • 68 篇 zhang lei
  • 59 篇 timofte radu
  • 41 篇 yang yi
  • 37 篇 loy chen change
  • 37 篇 hanqing lu
  • 33 篇 liu yang
  • 33 篇 xiaoou tang
  • 32 篇 nassir navab
  • 32 篇 wang liang
  • 30 篇 tian qi
  • 29 篇 h. bischof
  • 29 篇 jan-michael frah...
  • 29 篇 vittorio murino
  • 29 篇 darrell trevor
  • 27 篇 li xin
  • 27 篇 vasconcelos nuno
  • 27 篇 murino vittorio
  • 27 篇 chen chen

语言

  • 30,846 篇 英文
  • 89 篇 中文
  • 67 篇 其他
  • 6 篇 土耳其文
  • 2 篇 日文
  • 2 篇 俄文
  • 1 篇 西班牙文
检索条件"任意字段=Conference on Computer Vision and Pattern Recognition"
30983 条 记 录,以下是4751-4760 订阅
排序:
DOTA: A Large-scale Dataset for Object Detection in Aerial Images  31
DOTA: A Large-scale Dataset for Object Detection in Aerial I...
收藏 引用
31st IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xia, Gui-Song Bai, Xiang Ding, Jian Zhu, Zhen Belongie, Serge Luo, Jiebo Datcu, Mihai Pelillo, Marcello Zhang, Liangpei Wuhan Univ Wuhan Hubei Peoples R China Huazhong Univ Sci & Technol Wuhan Hubei Peoples R China Cornell Univ Ithaca NY 14853 USA Rochester Univ Rochester NY USA German Aerosp Ctr DLR Cologne Germany Univ Venice Venice Italy
Object detection is an important and challenging problem in computer vision. Although the past decade has witnessed major advances in object detection in natural scenes, such successes have been slow to aerial imagery... 详细信息
来源: 评论
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks  31
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neur...
收藏 引用
31st IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Aojun Yao, Anbang Wang, Kuan Chen, Yurong Intel Labs Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China
Benefiting from tens of millions of hierarchically stacked learnable parameters, Deep Neural Networks (DNNs) have demonstrated overwhelming accuracy on a variety of artificial intelligence tasks. However reversely, th... 详细信息
来源: 评论
DeSI: Deepfake Source Identifier for Social Media
DeSI: Deepfake Source Identifier for Social Media
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Narayan, Kartik Agarwal, Harsh Mittal, Surbhi Thakral, Kartik Kundu, Suman Vatsa, Mayank Singh, Richa IIT Jodhpur Karwar Rajasthan India
Social media holds the power to influence a significant change in the population. Through social media, people all around the world can connect and share their views. However, this social space is now infected due to ... 详细信息
来源: 评论
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
BCI: Breast Cancer Immunohistochemical Image Generation thro...
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Shengjie Zhu, Chuang Xu, Feng Jia, Xinyu Shi, Zhongyue Jin, Mulan Beijing Univ Posts & Telecommun Beijing Peoples R China Capital Med Univ Beijing Peoples R China
The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential to formulate a precise treatment for breast cancer. The routine evaluation of HER2 is conducted with immunohistochemical techni... 详细信息
来源: 评论
Learning Metrics for Diversity in Instance Retrieval  5
Learning Metrics for Diversity in Instance Retrieval
收藏 引用
5th National conference on computer vision, pattern recognition, Image Processing and Graphics (NCVPRIPG)
作者: Rao, Vidyadhar Gupta, Ajitesh Chari, Visesh Jawahar, C. V. IIIT Hyderabad Ctr Visual Informat Technol Hyderabad Andhra Pradesh India
Instance retrieval (IR) is the problem of retrieving specific instances of a particular object, like a monument, from a collection of images. Currently, the most popular methods for IR use Bag of words (BoW) features ... 详细信息
来源: 评论
Towards Evaluating and Training Verifiably Robust Neural Networks
Towards Evaluating and Training Verifiably Robust Neural Net...
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lyu, Zhaoyang Guo, Minghao Wu, Tong Xu, Guodong Zhang, Kehuan Lin, Dahua SenseTime CUHK Joint Lab Hong Kong Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China Ctr Perceptual & Interact Intelligence Hong Kong Peoples R China
Recent works have shown that interval bound propagation (!BP) can be used to train verifiably robust neural networks. Reseachers observe an intriguing phenomenon on these IBP trained networks: CROWN, a bounding method... 详细信息
来源: 评论
Self-generated Defocus Blur Detection via Dual Adversarial Discriminators
Self-generated Defocus Blur Detection via Dual Adversarial D...
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Wenda Shang, Cai Lu, Huchuan Dalian Univ Technol Sch Informat & Commun Engn Dalian Peoples R China
Although existing fully-supervised defocus blur detection (DBD) models significantly improve performance, training such deep models requires abundant pixel-level manual annotation, which is highly time-consuming and e... 详细信息
来源: 评论
A Fully Progressive Approach to Single-Image Super-Resolution  31
A Fully Progressive Approach to Single-Image Super-Resolutio...
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Yifan Perazzi, Federico McWilliams, Brian Sorkine-Hornung, Alexander Sorkine-Hornung, Olga Schroers, Christopher Swiss Fed Inst Technol Zurich Switzerland Disney Res Zurich Switzerland Oculus Menlo Pk CA USA
Recent deep learning approaches to single image super-resolution have achieved impressive results in terms of traditional error measures and perceptual quality. However, in each case it remains challenging to achieve ... 详细信息
来源: 评论
Picture: A Probabilistic Programming Language for Scene Perception
<i>Picture</i>: A Probabilistic Programming Language for Sce...
收藏 引用
IEEE conference on computer vision and pattern recognition (CVPR)
作者: Kulkarni, Tejas D. Kohli, Pushmeet Tenenbaum, Joshua B. Mansinghka, Vikash MIT Cambridge MA 02139 USA Microsoft Res Redmond WA USA
Recent progress on probabilistic modeling and statistical learning, coupled with the availability of large training datasets, has led to remarkable progress in computer vision. Generative probabilistic models, or &quo... 详细信息
来源: 评论
Modulated Contrast for Versatile Image Synthesis
Modulated Contrast for Versatile Image Synthesis
收藏 引用
IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhan, Fangneng Zhang, Jiahui Yu, Yingchen Wu, Rongliang Lu, Shijian Nanyang Technol Univ S Lab Singapore Singapore Nanyang Technol Univ Singapore Singapore
Perceiving the similarity between images has been a long-standing and fundamental problem underlying various visual generation tasks. Predominant approaches measure the inter-image distance by computing pointwise abso... 详细信息
来源: 评论