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421-430 订阅
排序:
Continual Forgetting for Pre-trained vision Models
Continual Forgetting for Pre-trained Vision Models
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhao, Hongbo Ni, Bolin Fang, Junsong Wang, Yuxi Chen, Yuntao Meng, Gaofeng Zhang, Zhaoxiang Chinese Acad Sci Inst Automat State Key Lab Multimodal Artificial Intelligence Beijing Peoples R China Chinese Acad Sci Ctr Artificial Intelligence & Robot Hong Kong Inst Sci & Innovat Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Shanghai Artificial Intelligence Lab Shanghai Peoples R China
For privacy and security concerns, the need to erase unwanted information from pre-trained vision models is becoming evident nowadays. In real-world scenarios, erasure requests originate at any time from both users an... 详细信息
来源: 评论
On Scaling up a Multilingual vision and Language Model
On Scaling up a Multilingual Vision and Language Model
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Chen, Xi Djolonga, Josip Padlewski, Piotr Mustafa, Basil Changpinyo, Soravit Wu, Jialin Ruiz, Carlos Riquelme Goodman, Sebastian Wang, Xiao Tay, Yi Shakeri, Siamak Dehghani, Mostafa Salz, Daniel Lucic, Mario Tschannen, Michael Nagrani, Arsha Hu, Hexiang Joshi, Mandar Pang, Bo Montgomery, Ceslee Pietrzyk, Paulina Ritter, Marvin Piergiovanni, A. J. Minderer, Matthias Pavetic, Filip Waters, Austin Li, Gang Alabdulmohsin, Ibrahim Beyer, Lucas Amelot, Julien Lee, Kenton Steiner, Andreas Peter Li, Yang Keysers, Daniel Arnab, Anurag Xu, Yuanzhong Rong, Keran Kolesnikov, Alexander Seyedhosseini, Mojtaba Angelova, Anelia Zhai, Xiaohua Houlsby, Neil Soricut, Radu Google Mountain View CA 94043 USA
We explore the boundaries of scaling up a multilingual vision and language model, both in terms of size of the components and the breadth of its training task mixture. Our model achieves new levels of performance on a... 详细信息
来源: 评论
Language Models as Black-Box Optimizers for vision-Language Models
Language Models as Black-Box Optimizers for Vision-Language ...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Liu, Shihong Yu, Samuel Lin, Zhiqiu Pathak, Deepak Ramanan, Deva Carnegie Mellon Univ Pittsburgh PA 15213 USA
vision-language models (VLMs) pre-trained on web-scale datasets have demonstrated remarkable capabilities on downstream tasks when fine-tuned with minimal data. However, many VLMs rely on proprietary data and are not ... 详细信息
来源: 评论
Towards Explainable Visual Vessel recognition Using Fine-Grained Classification and Image Retrieval
Towards Explainable Visual Vessel Recognition Using Fine-Gra...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Karus, Heiko Schwenker, Friedhelm Munz, Michael Teutsch, Michael Hensoldt Optron GmbH Oberkochen Germany Ulm Univ Ulm Germany Ulm Univ Appl Sci Ulm Germany
The precise recognition of vessel types is critical for applications in maritime surveillance, but manual visual inspection is slow and error-prone. Automated fine-grained object recognition helps to quickly and accur... 详细信息
来源: 评论
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of t...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wang, Hongjie Dedhia, Bhishma Jha, Niraj K. Princeton Univ Princeton NJ 08540 USA
Deployment of Transformer models on edge devices is becoming increasingly challenging due to the exponentially growing inference cost that scales quadratically with the number of tokens in the input sequence. Token pr... 详细信息
来源: 评论
Pre-training vision Models with Mandelbulb Variations
Pre-training Vision Models with Mandelbulb Variations
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Chiche, Benjamin Naoto Horikawa, Yuto Fujita, Ryo Rist Inc 830 Hongakujimae-ChoGojo-DoriShimogyo-Ku Kyoto 6008102 Japan
The use of models that have been pre-trained on natural image datasets like ImageNet may face some limitations. First, this use may be restricted due to copyright and license on the training images, and privacy laws. ... 详细信息
来源: 评论
NICE: cvpr 2023 Challenge on Zero-shot Image Captioning
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Kim, Taehoon Ahn, Pyunghwan Kim, Sangyun Lee, Sihaeng Marsden, Mark Sala, Alessandra Kim, Seung Hwan Han, Bohyung Lee, Kyoung Mu Lee, Honglak Bae, Kyounghoon Wu, Xiangyu Gao, Yi Zhang, Hailiang Yang, Yang Guo, Weili Lu, Jianfeng Oh, Youngtaek Cho, Jae Won Kim, Dong-Jin Kweon, In So Kim, Junmo Kang, Wooyoung Jhoo, Won Young Roh, Byungseok Mun, Jonghwan Oh, Solgil Ak, Kenan Emir Lee, Gwang-Gook Xu, Yan Shen, Mingwei Hwang, Kyomin Shin, Wonsik Lee, Kamin Park, Wonhark Lee, Dongkwan Kwak, Nojun Wang, Yujin Wang, Yimu Gu, Tiancheng Lv, Xingchang Sun, Mingmao
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project1 and share the results and outcomes of 2023 challenge. This project is designed to challenge the computer vision comm... 详细信息
来源: 评论
Color Shift Estimation-and-Correction for Image Enhancement
Color Shift Estimation-and-Correction for Image Enhancement
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Yiyu Xu, Ke Hancke, Gerhard Petrus Lau, Rynson W. H. City Univ Hong Kong Hong Kong Peoples R China
Images captured under sub-optimal illumination conditions may contain both over- and under-exposures. Current approaches mainly focus on adjusting image brightness, which may exacerbate color tone distortion in undere... 详细信息
来源: 评论
AHIVE: Anatomy-aware Hierarchical vision Encoding for Interactive Radiology Report Retrieval
AHIVE: Anatomy-aware Hierarchical Vision Encoding for Intera...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yan, Sixing Cheung, William K. Tsang, Ivor W. Chiu, Keith Tong, Terence M. Cheung, Ka Chun Seel, Simon Hong Kong Baptist Univ Hong Kong Peoples R China Agcy Sci Technol & Res CFAR Singapore Singapore Agcy Sci Technol & Res IHPC Singapore Singapore Nanyang Technol Univ SCSE Singapore Singapore Univ Technol Sydney AAII Sydney NSW Australia Queen Elizabeth Hosp Hong Kong Peoples R China Kwong Wah Hosp Hong Kong Peoples R China Tuen Mun Hosp Hong Kong Peoples R China NVIDIA Corp NVIDIA AI Technol Ctr Santa Clara CA USA
Automatic radiology report generation using deep learning models has been recently explored and found promising. Neural decoders are commonly used for the report generation, where irrelevant and unfaithful contents ar... 详细信息
来源: 评论
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for vision Applications
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Xiong, Yuwen Li, Zhiqi Chen, Yuntao Wang, Feng Zhu, Xizhou Luo, Jiapeng Wang, Wenhai Lu, Tong Li, Hongsheng Qiao, Yu Lu, Lewei Zhou, Jie Dai, Jifeng Univ Toronto Toronto ON Canada Shanghai AI Lab OpenGVLab Shanghai Peoples R China Nanjing Univ Nanjing Peoples R China Chinese Acad Sci CAIR HKISI Beijing Peoples R China Tsinghua Univ Beijing Peoples R China SenseTime Res Hong Kong Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China
We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of its predecessor, DCNv3, with two key e...
来源: 评论