咨询与建议

限定检索结果

文献类型

  • 11,745 篇 会议
  • 8 篇 期刊文献

馆藏范围

  • 11,753 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 8,139 篇 工学
    • 7,674 篇 计算机科学与技术...
    • 804 篇 机械工程
    • 580 篇 软件工程
    • 376 篇 电气工程
    • 252 篇 控制科学与工程
    • 208 篇 光学工程
    • 85 篇 生物工程
    • 83 篇 信息与通信工程
    • 29 篇 生物医学工程(可授...
    • 23 篇 电子科学与技术(可...
    • 21 篇 化学工程与技术
    • 15 篇 交通运输工程
    • 14 篇 安全科学与工程
    • 10 篇 网络空间安全
    • 8 篇 仪器科学与技术
    • 6 篇 材料科学与工程(可...
    • 6 篇 动力工程及工程热...
  • 3,194 篇 医学
    • 3,190 篇 临床医学
    • 11 篇 基础医学(可授医学...
    • 7 篇 公共卫生与预防医...
  • 481 篇 理学
    • 216 篇 物理学
    • 203 篇 系统科学
    • 88 篇 生物学
    • 55 篇 数学
    • 29 篇 统计学(可授理学、...
    • 24 篇 化学
  • 55 篇 管理学
    • 29 篇 图书情报与档案管...
    • 28 篇 管理科学与工程(可...
    • 12 篇 工商管理
  • 17 篇 法学
    • 15 篇 社会学
  • 6 篇 农学
  • 4 篇 教育学
  • 2 篇 经济学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 5,434 篇 computer vision
  • 2,516 篇 training
  • 2,087 篇 pattern recognit...
  • 1,621 篇 computational mo...
  • 1,435 篇 visualization
  • 1,306 篇 three-dimensiona...
  • 1,060 篇 semantics
  • 981 篇 codes
  • 968 篇 benchmark testin...
  • 898 篇 computer archite...
  • 884 篇 deep learning
  • 762 篇 task analysis
  • 681 篇 feature extracti...
  • 536 篇 face recognition
  • 527 篇 conferences
  • 515 篇 transformers
  • 515 篇 neural networks
  • 479 篇 object detection
  • 466 篇 image segmentati...
  • 454 篇 cameras

机构

  • 168 篇 univ sci & techn...
  • 144 篇 univ chinese aca...
  • 144 篇 tsinghua univ pe...
  • 143 篇 carnegie mellon ...
  • 135 篇 chinese univ hon...
  • 112 篇 peng cheng lab p...
  • 108 篇 zhejiang univ pe...
  • 97 篇 swiss fed inst t...
  • 92 篇 tsinghua univers...
  • 92 篇 sensetime res pe...
  • 88 篇 shanghai ai lab ...
  • 85 篇 zhejiang univers...
  • 84 篇 shanghai jiao to...
  • 78 篇 peng cheng labor...
  • 77 篇 university of sc...
  • 77 篇 alibaba grp peop...
  • 76 篇 univ hong kong p...
  • 76 篇 tech univ munich...
  • 76 篇 stanford univ st...
  • 73 篇 university of ch...

作者

  • 76 篇 timofte radu
  • 64 篇 van gool luc
  • 50 篇 zhang lei
  • 44 篇 yang yi
  • 40 篇 loy chen change
  • 34 篇 tao dacheng
  • 32 篇 liu yang
  • 32 篇 chen chen
  • 30 篇 zhou jie
  • 30 篇 tian qi
  • 30 篇 sun jian
  • 28 篇 zha zheng-jun
  • 27 篇 qi tian
  • 26 篇 li xin
  • 26 篇 vasconcelos nuno
  • 26 篇 ying shan
  • 25 篇 liu xiaoming
  • 25 篇 luc van gool
  • 25 篇 boxin shi
  • 24 篇 zheng wei-shi

语言

  • 11,746 篇 英文
  • 7 篇 其他
检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023"
11753 条 记 录,以下是4671-4680 订阅
排序:
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment
Few-Shot Object Detection via Classification Refinement and ...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Yiting Zhu, Haiyue Cheng, Yu Wang, Wenxin Teo, Chek Sing Xiang, Cheng Vadakkepat, Prahlad Lee, Tong Heng Natl Univ Singapore Singapore Singapore Agcy Sci Technol & Res SIMTech Singapore Singapore
We aim to tackle the challenging Few-Shot Object Detection (FSOD), where data-scarce categories are presented during the model learning. The failure modes of Faster-RCNN in FSOD are investigated, and we find that the ... 详细信息
来源: 评论
Dynamic Domain Adaptation for Efficient Inference
Dynamic Domain Adaptation for Efficient Inference
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Shuang Zhang, JinMing Ma, Wenxuan Liu, Chi Harold Li, Wei Beijing Inst Technol Beijing Peoples R China Inceptio Tech Fremont CA USA
Domain adaptation (DA) enables knowledge transfer from a labeled source domain to an unlabeled target domain by reducing the cross-domain distribution discrepancy. Most prior DA approaches leverage complicated and pow... 详细信息
来源: 评论
DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions
DAT: Training Deep Networks Robust to Label-Noise by Matchin...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Qu, Yuntao Mo, Shasha Niu, Jianwei Beihang Univ Sch Cyber Sci & Technol Beijing Peoples R China Beihang Univ Sch Comp Sci & Engn State Key Lab Virtual Real Technol & Syst Beijing Peoples R China Beihang Univ Hangzhou Innovat Inst Beijing Peoples R China Zhengzhou Univ Res Inst Ind Technol Zhengzhou Henan Peoples R China
In real application scenarios, the performance of deep networks may be degraded when the dataset contains noisy labels. Existing methods for learning with noisy labels are limited by two aspects. Firstly, methods base... 详细信息
来源: 评论
Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes
Discovering Interpretable Latent Space Directions of GANs Be...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yang, Huiting Chai, Liangyu Wen, Qiang Zhao, Shuang Sun, Zixun He, Shengfeng South China Univ Technol Sch Comp Sci & Engn Guangzhou Peoples R China Tencent Inc Interact Entertainment Grp Shenzhen Peoples R China
Generative adversarial networks (GANs) learn to map noise latent vectors to high-fidelity image outputs. It is found that the input latent space shows semantic correlations with the output image space. Recent works ai... 详细信息
来源: 评论
Active Learning for Open-set Annotation
Active Learning for Open-set Annotation
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Ning, Kun-Peng Zhao, Xun Li, Yu Huang, Sheng-Jun Nanjing Univ Aeronaut & Astronaut Nanjing Peoples R China Tencent PCG Appl Res Ctr Shenzhen Peoples R China Int Digital Econ Acad IDEA Shenzhen Peoples R China
Existing active learning studies typically work in the closed-set setting by assuming that all data examples to be labeled are drawn from known classes. However, in real annotation tasks, the unlabeled data usually co... 详细信息
来源: 评论
Learning Cross-Modal Retrieval with Noisy Labels
Learning Cross-Modal Retrieval with Noisy Labels
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Hu, Peng Peng, Xi Zhu, Hongyuan Zhen, Liangli Lin, Jie Sichuan Univ Coll Comp Sci Chengdu 610065 Peoples R China Agcy Sci Technol & Res Inst Infocomm Res Singapore Singapore Agcy Sci Technol & Res Inst High Performance Comp Singapore Singapore
Recently;cross-modal retrieval is emerging with the help of deep multimodal learning. However, even for unimodal data, collecting large-scale well-annotated data is expensive and time-consuming, and not to mention the... 详细信息
来源: 评论
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
A Differentiable Two-stage Alignment Scheme for Burst Image ...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Guo, Shi Yang, Xi Ma, Jianqi Ren, Gaofeng Zhang, Lei Hong Kong Polytech Univ Hong Kong Peoples R China Alibaba Grp DAMO Acad Hangzhou Peoples R China
Denoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data. Recently, joint denoising and demosaicking (JDD) for burst images, namely JDD-B, has attracted much attenti... 详细信息
来源: 评论
Exploring Geometric Consistency for Monocular 3D Object Detection
Exploring Geometric Consistency for Monocular 3D Object Dete...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Lian, Qing Ye, Botao Xu, Ruijia Yao, Weilong Zhang, Tong Hong Kong Univ Sci & Technol Hong Kong Peoples R China Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Autowise AI Hayward CA USA
This paper investigates the geometric consistency for monocular 3D object detection, which suffers from the ill-posed depth estimation. We first conduct a thorough analysis to reveal how existing methods fail to consi... 详细信息
来源: 评论
A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection
A Large-scale Comprehensive Dataset and Copy-overlap Aware E...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: He, Sifeng Yang, Xudong Jiang, Chen Liang, Gang Zhang, Wei Pan, Tan Wang, Qing Xu, Furong Li, Chunguang Liu, Jingxiong Xu, Hui Huang, Kaiming Cheng, Yuan Qian, Feng Zhang, Xiaobo Yang, Lei Ant Grp Hangzhou Peoples R China
In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset. Compared with existing copy detection datasets restricted by either video-level annot... 详细信息
来源: 评论
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: You, Shan Huang, Tao Yang, Mingmin Wang, Fei Qian, Chen Zhang, Changshui SenseTime Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China Huazhong Univ Sci & Technol Sch CST Dian Grp Wuhan Peoples R China
Training a supernet matters for one-shot neural architecture search (NAS) methods since it serves as a basic performance estimator for different architectures (paths). Current methods mainly hold the assumption that a... 详细信息
来源: 评论