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451-460 订阅
排序:
Leveraging Pre-trained Multi-task Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis in-the-Wild
Leveraging Pre-trained Multi-task Deep Models for Trustworth...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Saychenko, Andrey V. r Sber AI Lab Moscow Russia HSE Univ Lab Algorithms & Technol Network Anal Nizhnii Novgorod Russia
This article presents our results for the sixth Affective Behavior Analysis in-the-wild (ABAW) competition. To improve the trustworthiness of facial analysis, we study the possibility of using pre-trained deep models ... 详细信息
来源: 评论
FIQA-FAS: Face Image Quality Assessment Based Face Anti-Spoofing
FIQA-FAS: Face Image Quality Assessment Based Face Anti-Spoo...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Liang, Ya-Chi Qiu, Min-Xuan Lai, Shang-Hong Natl Tsing Hua Univ Hsinchu Taiwan
Face anti-spoofing (FAS) is to protect facial recognition systems against presentation attacks. However, recent research on FAS often neglects real-world conditions, such as changing illumination, varying angles of fa... 详细信息
来源: 评论
Anchor-based Robust Finetuning of vision-Language Models
Anchor-based Robust Finetuning of Vision-Language Models
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Han, Jinwei Lin, Zhiwen Sun, Zhongyisun Gao, Yingguo Yan, Ke Ding, Shouhong Gao, Yuan Xia, Gui-Song Wuhan Univ Sch Comp Sci Wuhan Peoples R China Tencent YouTu Lab Shenzhen Peoples R China Wuhan Univ Elect Informat Sch Wuhan Peoples R China
We aim at finetuning a vision-language model without hurting its out-of-distribution (OOD) generalization. We address two types of OOD generalization, i.e., i) domain shift such as natural to sketch images, and ii) ze... 详细信息
来源: 评论
The STVchrono Dataset: Towards Continuous Change recognition in Time
The STVchrono Dataset: Towards Continuous Change Recognition...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Sun, Yanjun Qiu, Yue Khan, Mariia Matsuzawa, Fumiya Iwata, Kenji Natl Inst Adv Ind Sci & Technol Tokyo Japan Keio Univ Tokyo Japan Edith Cowan Univ Joondalup Australia
Recognizing continuous changes offers valuable insights into past historical events, supports current trend analysis, and facilitates future planning. This knowledge is crucial for a variety of fields, such as meteoro... 详细信息
来源: 评论
An End-to-End vision Transformer Approach for Image Copy Detection
An End-to-End Vision Transformer Approach for Image Copy Det...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Lee, Jiahe Steven Hsu, Wynne Lee, Mong Li Natl Univ Singapore Inst Data Sci Singapore Singapore Natl Univ Singapore Ctr Trusted Internet & Community Singapore Singapore
Image copy detection is one of the pivotal tools to safeguard online information integrity. The challenge lies in determining whether a query image is an edited copy, which necessitates the identification of candidate... 详细信息
来源: 评论
COTR: Compact Occupancy TRansformer for vision-based 3D Occupancy Prediction
COTR: Compact Occupancy TRansformer for Vision-based 3D Occu...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Ma, Qihang Tan, Xin Qu, Yanyun Ma, Lizhuang Zhang, Zhizhong Xie, Yuan East China Normal Univ Shanghai Peoples R China East China Normal Univ Chongqing Inst Chongqing Peoples R China Xiamen Univ Fujian Peoples R China
The autonomous driving community has shown significant interest in 3D occupancy prediction, driven by its exceptional geometric perception and general object recognition capabilities. To achieve this, current works tr...
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
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
Chat-UniVi: Unified Visual Representation Empowers Large Lan...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Jin, Peng Takanobu, Ryuichi Zhang, Wancai Cao, Xiaochun Yuan, Li Peking Univ Sch Elect & Comp Engn Shenzhen Peoples R China Peng Cheng Lab Shenzhen Peoples R China Peking Univ Ai Sci AI4S Preferred Program Shenzhen Grad Sch Shenzhen Peoples R China Nari Technol Co Ltd Beijing Peoples R China Sun Yat Sen Univ Sch Cyber Sci & Tech Shenzhen Campus Shenzhen Peoples R China
Large language models have demonstrated impressive universal capabilities across a wide range of open-ended tasks and have extended their utility to encompass multi-modal conversations. However, existing methods encou... 详细信息
来源: 评论
Prompt Learning with One-Shot Setting based Feature Space Analysis in vision-and-Language Models
Prompt Learning with One-Shot Setting based Feature Space An...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Hirohashi, Yuki Hirakawa, Tsubasa Yamashita, Takayoshi Fujiyoshi, Hironobu OMRON Corp Kyoto Japan Chubu Univ Kasugai Aichi Japan
By using few-shot data and labels, prompt learning obtains optimal prompts that are capable of achieving high performance on downstream tasks. Existing prompt learning methods generate high-quality prompts that are su... 详细信息
来源: 评论
Taming Self-Training for Open-Vocabulary Object Detection
Taming Self-Training for Open-Vocabulary Object Detection
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhao, Shiyu Schulter, Samuel Zhao, Long Zhang, Zhixing Kumar, Vijay B. G. Suh, Yumin Chandraker, Manmohan Metaxas, Dimitris N. Rutgers State Univ New Brunswick NJ 08901 USA NEC Labs Amer Princeton NJ USA Google Res Mountain View CA USA Univ Calif San Diego San Diego CA USA
Recent studies have shown promising performance in open-vocabulary object detection (OVD) by utilizing pseudo labels (PLs) from pretrained vision and language models (VLMs). However, teacher-student self-training, a p... 详细信息
来源: 评论