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4791-4800 订阅
排序:
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Taehoon Kim Pyunghwan Ahn Sangyun Kim Sihaeng Lee Mark Marsden Alessandra Sala Seung Hwan Kim Bohyung Han Kyoung Mu Lee Honglak Lee Kyounghoon Bae Xiangyu Wu Yi Gao Hailiang Zhang Yang Yang Weili Guo Jianfeng Lu Youngtaek Oh Jae Won Cho Dong-Jin Kim In So Kweon Junmo Kim Wooyoung Kang Won Young Jhoo Byungseok Roh Jonghwan Mun Solgil Oh Kenan Emir Ak Gwang-Gook Lee Yan Xu Mingwei Shen Kyomin Hwang Wonsik Shin Kamin Lee Wonhark Park Dongkwan Lee Nojun Kwak Yujin Wang Yimu Wang Tiancheng Gu Xingchang Lv Mingmao Sun
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project 1 and share the results and outcomes of 2023 challenge. This project is designed to challenge the computer vision co... 详细信息
来源: 评论
The New Agronomists: Language Models are Experts in Crop Management
The New Agronomists: Language Models are Experts in Crop Man...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Jing Wu Zhixin Lai Suiyao Chen Ran Tao Pan Zhao Naira Hovakimyan University of Illinois at Urbana-Champaign Cornell University University of South Florida University of Alabama
Crop management plays a crucial role in determining crop yield, economic profitability, and environmental sustainability. Despite the availability of management guidelines, optimizing these practices remains a complex... 详细信息
来源: 评论
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
Cross-Domain Gradient Discrepancy Minimization for Unsupervi...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Du, Zhekai Li, Jingjing Su, Hongzu Zhu, Lei Lu, Ke Univ Elect Sci & Technol China Chengdu Sichuan Peoples R China Shandong Normal Univ Jinan Shandong Peoples R China
Unsupervised Domain Adaptation (UDA) aims to generalize the knowledge learned from a well-labeled source domain to an unlabled target domain. Recently, adversarial domain adaptation with two distinct classifiers (bi-c... 详细信息
来源: 评论
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place recognition
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descript...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hausler, Stephen Garg, Sourav Xu, Ming Milford, Michael Fischer, Tobias Queensland Univ Technol QUT Ctr Robot Brisbane Qld Australia
Visual Place recognition is a challenging task for robotics and autonomous systems, which must deal with the twin problems of appearance and viewpoint change in an always changing world. This paper introduces Patch-Ne... 详细信息
来源: 评论
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes
Synthesizing Long-Term 3D Human Motion and Interaction in 3D...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Jiashun Xu, Huazhe Xu, Jingwei Liu, Sifei Wang, Xiaolong Univ Calif San Diego San Diego CA 92093 USA Univ Calif Berkeley Berkeley CA USA Shanghai Jiao Tong Univ Shanghai Peoples R China NVIDIA Santa Clara CA USA
Synthesizing 3D human motion plays an important role in many graphics applications as well as understanding human activity. While many efforts have been made on generating realistic and natural human motion, most appr... 详细信息
来源: 评论
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Greedy Hierarchical Variational Autoencoders for Large-Scale...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wu, Bohan Nair, Suraj Martin-Martin, Roberto Li Fei-Fei Finn, Chelsea Stanford Univ Stanford CA 94305 USA
A video prediction model that generalizes to diverse scenes would enable intelligent agents such as robots to perform a variety of tasks via planning with the model. However, while existing video prediction models hav... 详细信息
来源: 评论
Learnable Motion Coherence for Correspondence Pruning
Learnable Motion Coherence for Correspondence Pruning
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liu, Yuan Liu, Lingjie Lin, Cheng Dong, Zhen Wang, Wenping Univ Hong Kong Hong Kong Peoples R China Saarland Informat Campus MPI Informat Saarbrucken Germany Wuhan Univ Wuhan Peoples R China Texas A&M Univ College Stn TX 77843 USA
Motion coherence is an important clue for distinguishing true correspondences from false ones. Modeling motion coherence on sparse putative correspondences is challenging due to their sparsity and uneven distributions... 详细信息
来源: 评论
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
DANNet: A One-Stage Domain Adaptation Network for Unsupervis...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wu, Xinyi Wu, Zhenyao Guo, Hao Ju, Lili Wang, Song Univ South Carolina Columbia SC 29208 USA Farsee2 Technol Ltd Shenzhen Guangdong Peoples R China
Semantic segmentation of nighttime images plays an equally important role as that of daytime images in autonomous driving, but the former is much more challenging due to poor illuminations and arduous human annotation... 详细信息
来源: 评论
Group Collaborative Learning for Co-Salient Object Detection
Group Collaborative Learning for Co-Salient Object Detection
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Fan, Qi Fan, Deng-Ping Fu, Huazhu Tang, Chi-Keung Shao, Ling Tai, Yu-Wing HKUST Hong Kong Peoples R China Incept Inst Artificial Intelligence Abu Dhabi U Arab Emirates Kuaishou Technol Beijing Peoples R China
We present a novel group collaborative learning framework (GCoNet) capable of detecting co-salient objects in real time (16ms), by simultaneously mining consensus representations at group level based on the two necess... 详细信息
来源: 评论
Orthogonal Over-Parameterized Training
Orthogonal Over-Parameterized Training
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liu, Weiyang Lin, Rongmei Liu, Zhen Rehg, James M. Paull, Liam Xiong, Li Song, Le Weller, Adrian Univ Cambridge Cambridge England Max Planck Inst Intelligent Syst Stuttgart Germany Emory Univ Atlanta GA 30322 USA Univ Montreal Mila Montreal PQ Canada Georgia Inst Technol Atlanta GA 30332 USA Alan Turing Inst London England
The inductive bias of a neural network is largely determined by the architecture and the training algorithm. To achieve good generalization, how to effectively train a neural network is of great importance. We propose... 详细信息
来源: 评论