咨询与建议

限定检索结果

文献类型

  • 12,844 篇 会议
  • 13 篇 期刊文献
  • 2 册 图书

馆藏范围

  • 12,859 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 7,573 篇 工学
    • 6,863 篇 计算机科学与技术...
    • 880 篇 机械工程
    • 814 篇 软件工程
    • 435 篇 控制科学与工程
    • 360 篇 光学工程
    • 306 篇 电气工程
    • 209 篇 仪器科学与技术
    • 124 篇 信息与通信工程
    • 91 篇 生物工程
    • 62 篇 生物医学工程(可授...
    • 39 篇 电子科学与技术(可...
    • 34 篇 安全科学与工程
    • 26 篇 化学工程与技术
    • 21 篇 交通运输工程
    • 20 篇 建筑学
    • 18 篇 土木工程
  • 2,957 篇 医学
    • 2,956 篇 临床医学
    • 15 篇 基础医学(可授医学...
    • 12 篇 药学(可授医学、理...
  • 700 篇 理学
    • 359 篇 物理学
    • 225 篇 数学
    • 175 篇 系统科学
    • 95 篇 统计学(可授理学、...
    • 93 篇 生物学
    • 22 篇 化学
  • 201 篇 艺术学
    • 201 篇 设计学(可授艺术学...
  • 84 篇 管理学
    • 59 篇 图书情报与档案管...
    • 25 篇 管理科学与工程(可...
    • 14 篇 工商管理
  • 23 篇 法学
    • 21 篇 社会学
  • 5 篇 农学
  • 4 篇 教育学
  • 2 篇 经济学
  • 1 篇 军事学

主题

  • 6,464 篇 computer vision
  • 2,688 篇 training
  • 2,437 篇 pattern recognit...
  • 1,780 篇 computational mo...
  • 1,522 篇 visualization
  • 1,348 篇 three-dimensiona...
  • 1,091 篇 computer archite...
  • 1,063 篇 semantics
  • 997 篇 benchmark testin...
  • 976 篇 codes
  • 970 篇 conferences
  • 854 篇 feature extracti...
  • 830 篇 cameras
  • 771 篇 task analysis
  • 707 篇 deep learning
  • 646 篇 image segmentati...
  • 611 篇 object detection
  • 595 篇 shape
  • 554 篇 transformers
  • 538 篇 neural networks

机构

  • 132 篇 univ sci & techn...
  • 122 篇 carnegie mellon ...
  • 120 篇 tsinghua univ pe...
  • 114 篇 univ chinese aca...
  • 113 篇 chinese univ hon...
  • 94 篇 tsinghua univers...
  • 91 篇 zhejiang univ pe...
  • 91 篇 swiss fed inst t...
  • 85 篇 peng cheng lab p...
  • 81 篇 university of ch...
  • 80 篇 zhejiang univers...
  • 77 篇 shanghai ai lab ...
  • 77 篇 peng cheng labor...
  • 75 篇 university of sc...
  • 69 篇 shanghai jiao to...
  • 68 篇 shanghai jiao to...
  • 67 篇 alibaba grp peop...
  • 67 篇 stanford univ st...
  • 66 篇 univ hong kong p...
  • 64 篇 sensetime res pe...

作者

  • 77 篇 timofte radu
  • 63 篇 van gool luc
  • 45 篇 zhang lei
  • 36 篇 yang yi
  • 36 篇 luc van gool
  • 34 篇 tao dacheng
  • 31 篇 loy chen change
  • 29 篇 chen chen
  • 28 篇 sun jian
  • 28 篇 qi tian
  • 25 篇 li xin
  • 24 篇 liu yang
  • 24 篇 tian qi
  • 24 篇 ying shan
  • 23 篇 wang xinchao
  • 23 篇 zha zheng-jun
  • 23 篇 boxin shi
  • 21 篇 zhou jie
  • 21 篇 vasconcelos nuno
  • 20 篇 luo ping

语言

  • 12,851 篇 英文
  • 7 篇 其他
  • 1 篇 中文
检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是4931-4940 订阅
排序:
Masked Jigsaw Puzzle: A Versatile Position Embedding for vision Transformers
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vis...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ren, Bin Liu, Yahui Song, Yue Bi, Wei Cucchiara, Rita Sebe, Nicu Wang, Wei Univ Pisa Pisa Italy Univ Trento Trento TN Italy Tencent AI Lab Shenzhen Peoples R China Beijing Jiaotong Univ Beijing Peoples R China Univ Modena & Reggio Emilia Modena Italy
Position Embeddings (PEs), an arguably indispensable component in vision Transformers (ViTs), have been shown to improve the performance of ViTs on many vision tasks. However, PEs have a potentially high risk of priva... 详细信息
来源: 评论
SimPoE: Simulated Character Control for 3D Human Pose Estimation
SimPoE: Simulated Character Control for 3D Human Pose Estima...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yuan, Ye Wei, Shih-En Simon, Tomas Kitani, Kris Saragih, Jason Carnegie Mellon Univ Pittsburgh PA 15213 USA Facebook Real Labs Redmond WA USA
Accurate estimation of 3D human motion from monocular video requires modeling both kinematics (body motion without physical forces) and dynamics (motion with physical forces). To demonstrate this, we present SimPoE, a... 详细信息
来源: 评论
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wortsman, Mitchell Ilharco, Gabriel Kim, Jong Wook Li, Mike Kornblith, Simon Roelofs, Rebecca Lopes, Raphael Gontijo Hajishirzi, Hannaneh Farhadi, Ali Namkoong, Hongseok Schmidt, Ludwig Univ Washington Seattle WA 98195 USA OpenAI San Francisco CA USA Columbia Univ New York NY USA Google Res Brain Team Toronto ON Canada
Large pre-trained models such as CLIP or ALIGN offer consistent accuracy across a range of data distributions when performing zero-shot inference (i.e., without fine-tuning on a specific dataset). Although existing fi... 详细信息
来源: 评论
Adaptive Pyramid Context Network for Semantic Segmentation  32
Adaptive Pyramid Context Network for Semantic Segmentation
收藏 引用
32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: He, Junjun Deng, Zhongying Zhou, Lei Wang, Yali Qiao, Yu Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Key Lab Comp Vis & Pattern Recognit SIAT SenseTime Joint Lab Beijing Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China
Recent studies witnessed that context features can significantly improve the performance of deep semantic segmentation networks. Current context based segmentation methods differ with each other in how to construct co... 详细信息
来源: 评论
Generalising Fine-Grained Sketch-Based Image Retrieval  32
Generalising Fine-Grained Sketch-Based Image Retrieval
收藏 引用
32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Pang, Kaiyue Li, Ke Yang, Yongxin Zhang, Honggang Hospedales, Timothy M. Xiang, Tao Song, Yi-Zhe Univ Surrey SketchX CVSSP Guildford Surrey England Queen Mary Univ London London England Beijing Univ Posts & Telecommun Beijing Peoples R China Univ Edinburgh Edinburgh Midlothian Scotland
Fine-grained sketch-based image retrieval (FG-SBIR) addresses matching specific photo instance using free-hand sketch as a query modality. Existing models aim to learn an embedding space in which sketch and photo can ... 详细信息
来源: 评论
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
Farewell to Mutual Information: Variational Distillation for...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Tian, Xudong Zhang, Zhizhong Lin, Shaohui Qu, Yanyun Xie, Yuan Ma, Lizhuang East China Normal Univ Shanghai Peoples R China Xiamen Univ Xiamen Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China
The Information Bottleneck (IB) provides an information theoretic principle for representation learning, by retaining all information relevant for predicting label while minimizing the redundancy. Though IB principle ... 详细信息
来源: 评论
Improving OCR-based Image Captioning by Incorporating Geometrical Relationship
Improving OCR-based Image Captioning by Incorporating Geomet...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Jing Tang, Jinhui Yang, Mingkun Bai, Xiang Luo, Jiebo Nanjing Univ Sci & Technol Nanjing Peoples R China Huazhong Univ Sci & Technol Wuhan Peoples R China Univ Rochester Rochester NY 14627 USA
OCR-based image captioning aims to automatically describe images based on all the visual entities (both visual objects and scene text) in images. Compared with conventional image captioning, the reasoning of scene tex... 详细信息
来源: 评论
Text-image Alignment for Diffusion-based Perception
Text-image Alignment for Diffusion-based Perception
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kondapanenil, Neehar Marksl, Markus Knott, Manuel Guimaraes, Rogerio Perona, Pietro CALTECH Pasadena CA 91125 USA Swiss Data Sci Ctr Empa ETH Zurich Zurich Switzerland
Diffusion models are generative models with impressive text-to-image synthesis capabilities and have spurred a new wave of creative methods for classical machine learning tasks. However, the best way to harness the pe... 详细信息
来源: 评论
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
HerosNet: Hyperspectral Explicable Reconstruction and Optima...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Xuanyu Zhang, Yongbing Xiong, Ruiqin Sun, Qilin Zhang, Jian Peking Univ Shenzhen Grad Sch Shenzhen Peoples R China Harbin Inst Technol Shenzhen Peoples R China Peking Univ Beijing Peoples R China Chinese Univ Hong Kong Shenzhen Peoples R China Peng Cheng Lab Shenzhen Peoples R China
Hyperspectral imaging is an essential imaging modality for a wide range of applications, especially in remote sensing, agriculture, and medicine. Inspired by existing hyperspectral cameras that are either slow, expens... 详细信息
来源: 评论
Low-Rank Rescaled vision Transformer Fine-Tuning: A Residual Design Approach
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Dong, Wei Zhang, Xing Chen, Bihui Yang, Dawei Lin, Zhijun Yang, Qingsen Wang, Peng Yang, Yang Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu Sichuan Peoples R China Xian Univ Architecture & Technol Coll Informat & Control Engn Xian Shaanxi Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian Shaanxi Peoples R China
Parameter-efficient fine-tuning for pre-trained vision Transformers aims to adeptly tailor a model to downstream tasks by learning a minimal set of new adaptation parameters while preserving the frozen majority of pre... 详细信息
来源: 评论