咨询与建议

限定检索结果

文献类型

  • 11,885 篇 会议
  • 5 篇 期刊文献

馆藏范围

  • 11,890 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 8,059 篇 工学
    • 7,617 篇 计算机科学与技术...
    • 796 篇 机械工程
    • 688 篇 电气工程
    • 360 篇 软件工程
    • 228 篇 控制科学与工程
    • 40 篇 光学工程
    • 19 篇 生物工程
    • 17 篇 信息与通信工程
    • 12 篇 生物医学工程(可授...
    • 6 篇 电子科学与技术(可...
    • 6 篇 建筑学
    • 6 篇 交通运输工程
    • 5 篇 仪器科学与技术
    • 5 篇 化学工程与技术
    • 5 篇 安全科学与工程
    • 4 篇 土木工程
  • 3,347 篇 医学
    • 3,346 篇 临床医学
    • 4 篇 基础医学(可授医学...
    • 4 篇 公共卫生与预防医...
  • 253 篇 理学
    • 198 篇 系统科学
    • 32 篇 物理学
    • 21 篇 生物学
    • 18 篇 数学
    • 9 篇 统计学(可授理学、...
    • 7 篇 化学
  • 17 篇 管理学
    • 12 篇 管理科学与工程(可...
    • 7 篇 图书情报与档案管...
    • 5 篇 工商管理
  • 3 篇 法学
    • 3 篇 社会学
  • 3 篇 教育学
    • 3 篇 教育学
  • 2 篇 农学
  • 1 篇 经济学
  • 1 篇 军事学

主题

  • 5,633 篇 computer vision
  • 2,668 篇 training
  • 2,203 篇 pattern recognit...
  • 1,747 篇 computational mo...
  • 1,502 篇 visualization
  • 1,360 篇 three-dimensiona...
  • 1,074 篇 semantics
  • 999 篇 benchmark testin...
  • 986 篇 codes
  • 959 篇 computer archite...
  • 891 篇 deep learning
  • 777 篇 conferences
  • 754 篇 task analysis
  • 700 篇 feature extracti...
  • 561 篇 transformers
  • 533 篇 face recognition
  • 527 篇 neural networks
  • 495 篇 object detection
  • 490 篇 image segmentati...
  • 468 篇 cameras

机构

  • 174 篇 univ sci & techn...
  • 145 篇 carnegie mellon ...
  • 144 篇 univ chinese aca...
  • 144 篇 tsinghua univ pe...
  • 134 篇 chinese univ hon...
  • 110 篇 zhejiang univ pe...
  • 109 篇 peng cheng lab p...
  • 99 篇 swiss fed inst t...
  • 91 篇 tsinghua univers...
  • 90 篇 shanghai ai lab ...
  • 87 篇 sensetime res pe...
  • 86 篇 shanghai jiao to...
  • 83 篇 zhejiang univers...
  • 82 篇 tech univ munich...
  • 79 篇 university of sc...
  • 79 篇 stanford univ st...
  • 78 篇 univ hong kong p...
  • 77 篇 australian natl ...
  • 76 篇 alibaba grp peop...
  • 75 篇 peng cheng labor...

作者

  • 75 篇 timofte radu
  • 64 篇 van gool luc
  • 50 篇 zhang lei
  • 43 篇 yang yi
  • 37 篇 loy chen change
  • 36 篇 tao dacheng
  • 32 篇 zhou jie
  • 31 篇 chen chen
  • 30 篇 liu yang
  • 30 篇 tian qi
  • 29 篇 sun jian
  • 29 篇 zha zheng-jun
  • 28 篇 li xin
  • 27 篇 qi tian
  • 26 篇 vasconcelos nuno
  • 25 篇 liu xiaoming
  • 25 篇 darrell trevor
  • 24 篇 zheng wei-shi
  • 24 篇 luo ping
  • 24 篇 ying shan

语言

  • 11,863 篇 英文
  • 26 篇 其他
  • 1 篇 中文
检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024"
11890 条 记 录,以下是511-520 订阅
排序:
Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling
Label-free Anomaly Detection in Aerial Agricultural Images w...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Shikhar, Sambal Sobti, Anupam Plaksha Univ Mohali Punjab India
Detecting various types of stresses (nutritional, water, nitrogen, etc.) in agricultural fields is critical for farmers to ensure maximum productivity. However, stresses show up in different shapes and sizes across di... 详细信息
来源: 评论
Towards Efficient Audio-Visual Learners via Empowering Pre-trained vision Transformers with Cross-Modal Adaptation
Towards Efficient Audio-Visual Learners via Empowering Pre-t...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wang, Kai Tian, Yapeng Hatzinakos, Dimitrios Univ Toronto Toronto ON Canada Univ Texas Dallas Richardson TX 75083 USA
In this paper, we explore the cross-modal adaptation of pre-trained vision Transformers (ViTs) for the audio-visual domain by incorporating a limited set of trainable parameters. To this end, we propose a Spatial-Temp... 详细信息
来源: 评论
ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D image
ANIM: Accurate Neural Implicit Model for Human Reconstructio...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Pesavento, Marco Xu, Yuanlu Sarafianos, Nikolaos Maier, Robert Wang, Ziyan Yao, Chun-Han Volino, Marco Boyer, Edmond Hilton, Adrian Tung, Tony Univ Surrey CVSSP Guildford Surrey England UC Merced Merced CA USA Meta Real Labs Sausalito CA USA
Recent progress in human shape learning, shows that neural implicit models are effective in generating 3D human surfaces from limited number of views, and even from a single RGB image. However, existing monocular appr... 详细信息
来源: 评论
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contr...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Ying, Haiyang Yin, Yixuan Zhang, Jinzhi Wang, Fan Yu, Tao Huang, Ruqi Fang, Lu Tsinghua Univ Beijing Peoples R China Alibaba Grp Beijing Peoples R China
Towards holistic understanding of 3D scenes, a general 3D segmentation method is needed that can segment diverse objects without restrictions on object quantity or categories, while also reflecting the inherent hierar... 详细信息
来源: 评论
Logarithmic Lenses: Exploring Log RGB Data for Image Classification
Logarithmic Lenses: Exploring Log RGB Data for Image Classif...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Maxwell, Bruce A. Singhania, Sumegha Patel, Avnish Kumar, Rahul Fryling, Heather Li, Sihan Sun, Haonan He, Ping Li, Zewen Northeastern Univ Boston MA 02115 USA
The design of deep network architectures and training methods in computer vision has been well-explored. However, in almost all cases the images have been used as provided, with little exploration of pre-processing st... 详细信息
来源: 评论
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results
AIS 2024 Challenge on Video Quality Assessment of User-Gener...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Conde, Marcos, V Zadtootaghaj, Saman Barman, Nabajeet Timofte, Radu He, Chenlong Zheng, Qi Zhu, Ruoxi Tu, Zhengzhong Wang, Haiqiang Chen, Xiangguang Meng, Wenhui Pan, Xiang Shi, Huiying Zhu, Han Xu, Xiaozhong Sun, Lei Chen, Zhenzhong Liu, Shan Zhang, Zicheng Wu, Haoning Zhou, Yingjie Li, Chunyi Liu, Xiaohong Lin, Weisi Zhai, Guangtao Sun, Wei Cao, Yuqin Jiang, Yanwei Jia, Jun Zhang, Zhichao Chen, Zijian Zhang, Weixia Min, Xiongkuo Goring, Steve Qi, Zihao Feng, Chen Univ Wurzburg Wurzburg Germany Sony Interact Entertainment FTG Tokyo Japan
This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge, focused on User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based methods capable of estimating the perceptua... 详细信息
来源: 评论
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video recognition
OST: Refining Text Knowledge with Optimal Spatio-Temporal De...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Chen, Tongjia Yu, Hongshan Yang, Zhengeng Li, Zechuan Sun, Wei Chen, Chen Hunan Univ Changsha Peoples R China Hunan Normal Univ Changsha Peoples R China Univ Cent Florida Ctr Res Comp Vis Orlando FL USA
Due to the resource-intensive nature of training vision-language models on expansive video data, a majority of studies have centered on adapting pre-trained image-language models to the video domain. Dominant pipeline... 详细信息
来源: 评论
The Neglected Tails in vision-Language Models
The Neglected Tails in Vision-Language Models
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Parashar, Shubham Lin, Zhiqiu Liu, Tian Dong, Xiangjue Li, Yanan Ramanan, Deva Caverlee, James Kong, Shu Texas A&M Univ College Stn TX 77840 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Zhejiang Lab Hangzhou Peoples R China Univ Macau Taipa Macao Peoples R China
vision-language models (VLMs) excel in zero-shot recognition but their performance varies greatly across different visual concepts. For example, although CLIP achieves impressive accuracy on ImageNet (60-80%), its per... 详细信息
来源: 评论
Low-Rank Few-Shot Adaptation of vision-Language Models
Low-Rank Few-Shot Adaptation of Vision-Language Models
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zanella, Maxime Ben Ayed, Ismail UCLouvain Louvain Belgium UMons Mons Belgium ETS Montreal Montreal PQ Canada
Recent progress in the few-shot adaptation of vision-Language Models (VLMs) has further pushed their generalization capabilities, at the expense of just a few labeled samples within the target downstream task. However... 详细信息
来源: 评论
Rugby Scene Classification Enhanced by vision Language Model
Rugby Scene Classification Enhanced by Vision Language Model
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Nonaka, Naoki Fujihira, Ryo Koshiba, Toshiki Maeda, Akira Seita, Jun RIKEN Informat R&D & Strategy Headquarters Adv Data Sci Project Wako Saitama Japan Hakata Knee & Sports Clin Fukuoka Japan
This study investigates the integration of vision language models (VLM) to enhance the classification of situations within rugby match broadcasts. The importance of accurately identifying situations in sports videos i... 详细信息
来源: 评论