咨询与建议

限定检索结果

文献类型

  • 50,480 篇 会议
  • 1,421 册 图书
  • 1,042 篇 期刊文献
  • 1 篇 学位论文

馆藏范围

  • 52,941 篇 电子文献
  • 3 种 纸本馆藏

日期分布

学科分类号

  • 31,809 篇 工学
    • 24,802 篇 计算机科学与技术...
    • 12,567 篇 软件工程
    • 5,155 篇 光学工程
    • 4,748 篇 电气工程
    • 4,432 篇 信息与通信工程
    • 4,257 篇 机械工程
    • 3,950 篇 控制科学与工程
    • 2,474 篇 生物工程
    • 1,729 篇 生物医学工程(可授...
    • 1,580 篇 仪器科学与技术
    • 1,310 篇 电子科学与技术(可...
    • 793 篇 化学工程与技术
    • 697 篇 安全科学与工程
    • 541 篇 交通运输工程
    • 379 篇 建筑学
    • 331 篇 土木工程
  • 11,837 篇 理学
    • 6,435 篇 物理学
    • 5,405 篇 数学
    • 2,761 篇 生物学
    • 1,911 篇 统计学(可授理学、...
    • 797 篇 化学
    • 669 篇 系统科学
  • 5,303 篇 医学
    • 5,095 篇 临床医学
    • 729 篇 基础医学(可授医学...
    • 459 篇 药学(可授医学、理...
  • 3,345 篇 管理学
    • 1,951 篇 图书情报与档案管...
    • 1,533 篇 管理科学与工程(可...
    • 479 篇 工商管理
  • 720 篇 艺术学
    • 718 篇 设计学(可授艺术学...
  • 428 篇 法学
    • 401 篇 社会学
  • 298 篇 农学
  • 197 篇 教育学
  • 163 篇 经济学
  • 63 篇 文学
  • 49 篇 军事学

主题

  • 17,384 篇 computer vision
  • 9,016 篇 pattern recognit...
  • 4,195 篇 training
  • 3,814 篇 feature extracti...
  • 3,134 篇 cameras
  • 2,870 篇 computational mo...
  • 2,790 篇 image segmentati...
  • 2,621 篇 visualization
  • 2,573 篇 shape
  • 2,533 篇 face recognition
  • 2,171 篇 robustness
  • 2,123 篇 computer science
  • 1,972 篇 object detection
  • 1,959 篇 computer archite...
  • 1,878 篇 layout
  • 1,852 篇 object recogniti...
  • 1,802 篇 three-dimensiona...
  • 1,725 篇 neural networks
  • 1,708 篇 humans
  • 1,691 篇 image recognitio...

机构

  • 165 篇 univ chinese aca...
  • 144 篇 tsinghua univers...
  • 136 篇 national laborat...
  • 107 篇 univ sci & techn...
  • 104 篇 zhejiang univers...
  • 100 篇 shanghai jiao to...
  • 95 篇 microsoft resear...
  • 94 篇 university of sc...
  • 85 篇 zhejiang univ pe...
  • 84 篇 shanghai ai lab ...
  • 74 篇 school of comput...
  • 69 篇 computer vision ...
  • 68 篇 peking univ peop...
  • 68 篇 chinese acad sci...
  • 65 篇 chinese univ hon...
  • 63 篇 institute of inf...
  • 62 篇 google res mount...
  • 61 篇 univ oxford oxfo...
  • 59 篇 univ toronto on
  • 57 篇 swiss fed inst t...

作者

  • 91 篇 van gool luc
  • 87 篇 umapada pal
  • 76 篇 zhang lei
  • 64 篇 lee seong-whan
  • 50 篇 vittorio murino
  • 42 篇 yang yi
  • 34 篇 nassir navab
  • 33 篇 li xin
  • 33 篇 jie yang
  • 32 篇 liu yang
  • 31 篇 escalera sergio
  • 31 篇 loy chen change
  • 30 篇 ling haibin
  • 30 篇 h. bischof
  • 29 篇 zhou jie
  • 29 篇 vasconcelos nuno
  • 29 篇 jan-michael frah...
  • 29 篇 hanqing lu
  • 28 篇 blumenstein mich...
  • 27 篇 jia yunde

语言

  • 51,872 篇 英文
  • 835 篇 其他
  • 241 篇 中文
  • 22 篇 土耳其文
  • 5 篇 西班牙文
  • 2 篇 日文
  • 2 篇 葡萄牙文
  • 2 篇 俄文
检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition"
52944 条 记 录,以下是4451-4460 订阅
排序:
Dual Contrastive Learning for Unsupervised Image-to-Image Translation
Dual Contrastive Learning for Unsupervised Image-to-Image Tr...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Han, Junlin Shoeiby, Mehrdad Petersson, Lars Armin, Mohammad Ali DATA61 CSIRO Canberra ACT Australia Australian Natl Univ Canberra ACT Australia
Unsupervised image-to-image translation tasks aim to find a mapping between a source domain X and a target domain Y from unpaired training data. Contrastive learning for Unpaired image-to-image Translation (CUT) yield... 详细信息
来源: 评论
Pano3D: A Holistic Benchmark and a Solid Baseline for 360° Depth Estimation
Pano3D: A Holistic Benchmark and a Solid Baseline for 360° ...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Albanis, Georgios Zioulis, Nikolaos Drakoulis, Petros Gkitsas, Vasileios Sterzentsenko, Vladimiros Alvarez, Federico Zarpalas, Dimitrios Daras, Petros Ctr Res & Technol Hellas Thessaloniki Greece Univ Politecn Madrid Madrid Spain
Pano3D is a new benchmark for depth estimation from spherical panoramas. It aims to assess performance across all depth estimation traits, the primary direct depth estimation performance targeting precision and accura... 详细信息
来源: 评论
CompConv: A Compact Convolution Module for Efficient Feature Learning
CompConv: A Compact Convolution Module for Efficient Feature...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Chen Xu, Yinghao Shen, Yujun Zhejiang Univ Hangzhou Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China
Convolutional Neural Networks (CNNs) have achieved remarkable success in various computer vision tasks but rely on tremendous computational cost. To solve this problem, existing approaches either compress well-trained... 详细信息
来源: 评论
Boosting Unconstrained Face recognition with Auxiliary Unlabeled Data
Boosting Unconstrained Face Recognition with Auxiliary Unlab...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shi, Yichun Jain, Anil K. Michigan State Univ E Lansing MI 48824 USA
In recent years, significant progress has been made in face recognition, which can be partially attributed to the availability of large-scale labeled face datasets. However, since the faces in these datasets usually c... 详细信息
来源: 评论
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Weilin Wang, Yu-Xiong Univ Illinois Champaign IL 61820 USA
Learning to detect novel objects from few annotated examples is of great practical importance. A particularly challenging yet common regime occurs when there are extremely limited examples (less than three). One criti... 详细信息
来源: 评论
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene ...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Chaoyi Yu, Jianhui Song, Yang Cai, Weidong Univ Sydney Sydney NSW Australia Univ New South Wales Sydney NSW Australia
Scene understanding is a critical problem in computer vision. In this paper, we propose a 3D point-based scene graph generation (SGG(point)) framework to effectively bridge perception and reasoning to achieve scene un... 详细信息
来源: 评论
An Approach to Countering Adversarial Attacks on Image recognition Based on JPEG-Compression and Neural-Cleanse
An Approach to Countering Adversarial Attacks on Image Recog...
收藏 引用
2024 ieee Ural-Siberian conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024
作者: Kotenko, Igor Saenko, Igor Lauta, Oleg Vasiliev, Nikita Sadovnikov, Vladimir Laboratory Of Computer Security Problems Saint-Petersburg Russia Admiral Makarov State University Of Maritime And Inland Shipping Department Of Telecommunications And Information Security Saint-Petersburg Russia
Nowadays, machine learning is becoming a ubiquitous artificial intelligence technology. It is actively being implemented in various fields of science and technology, including protection against cyber attacks, image r... 详细信息
来源: 评论
Adversarial Robust Model Compression using In-Train Pruning
Adversarial Robust Model Compression using In-Train Pruning
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Vemparala, Manoj-Rohit Fasfous, Nael Frickenstein, Alexander Sarkar, Sreetama Zhao, Qi Kuhn, Sabine Frickenstein, Lukas Singh, Anmol Unger, Christian Nagaraja, Naveen-Shankar Wressnegger, Christian Stechele, Walter BMW Autonomous Driving Munich Germany Tech Univ Munich Munich Germany Karlsruhe Inst Technol Karlsruhe Germany
Efficiently deploying learning-based systems on embedded hardware is challenging for various reasons, two of which are considered in this paper: The model's size and its robustness against attacks. Both need to be... 详细信息
来源: 评论
No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry
No Shadow Left Behind: Removing Objects and their Shadows us...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Edward Martin-Brualla, Ricardo Kontkanen, Janne Curless, Brian Univ Washington Seattle WA 98195 USA Google Mountain View CA 94043 USA
Removing objects from images is a challenging technical problem that is important for many applications, including mixed reality. For believable results, the shadows that the object casts should also be removed. Curre... 详细信息
来源: 评论
Dot Distance for Tiny Object Detection in Aerial Images
Dot Distance for Tiny Object Detection in Aerial Images
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xu, Chang Wang, Jinwang Yang, Wen Yu, Lei Wuhan Univ Sch Elect Informat Wuhan Peoples R China
Object detection has achieved great progress with the development of anchor-based and anchor-free detectors. However, the detection of tiny objects is still challenging due to the lack of appearance information. In th... 详细信息
来源: 评论