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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4921-4930 订阅
排序:
Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
Class Balanced Adaptive Pseudo Labeling for Federated Semi-S...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Ming Li, Qingli Wang, Yan East China Normal Univ Shanghai Key Lab Multidimens Informat Proc Shanghai Peoples R China
This paper focuses on federated semi-supervised learning (FSSL), assuming that few clients have fully labeled data (labeled clients) and the training datasets in other clients are fully unlabeled (unlabeled clients). ... 详细信息
来源: 评论
Speed up Object Detection on Gigapixel-level Images with Patch Arrangement
Speed up Object Detection on Gigapixel-level Images with Pat...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Fan, Jiahao Liu, Huabin Yang, Wenjie See, John Zhang, Aixin Lin, Weiyao Shanghai Jiao Tong Univ Shanghai Peoples R China Heriot Watt Univ Putrajaya Malaysia
With the appearance of super high-resolution (e.g., gigapixel-level) images, performing efficient object detection on such images becomes an important issue. Most existing works for efficient object detection on high-... 详细信息
来源: 评论
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
Combining Semantic Guidance and Deep Reinforcement Learning ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Singh, Jaskirat Zheng, Liang Australian Natl Univ Canberra ACT Australia
Generation of stroke-based non-photorealistic imagery, is an important problem in the computer vision community. As an endeavor in this direction, substantial recent research efforts have been focused on teaching mach... 详细信息
来源: 评论
Accelerating vision-Language Pretraining with Free Language Modeling
Accelerating Vision-Language Pretraining with Free Language ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Teng Ge, Yixiao Zheng, Feng Cheng, Ran Shan, Ying Qie, Xiaohu Luo, Ping Southern Univ Sci & Technol Shenzhen Peoples R China Univ Hong Kong Hong Kong Peoples R China ARC Lab Shenzhen Peoples R China Tencent PCG Shenzhen Peoples R China Peng Cheng Lab Shenzhen Peoples R China Shanghai AI Lab Shanghai Peoples R China
The state of the arts in vision-language pretraining (VLP) achieves exemplary performance but suffers from high training costs resulting from slow convergence and long training time, especially on large-scale web data... 详细信息
来源: 评论
Online Depth Learning against Forgetting in Monocular Videos
Online Depth Learning against Forgetting in Monocular Videos
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Zhenyu Lathuiliere, Stephane Ricci, Elisa Sebe, Nicu Yan, Yan Yang, Jian Nanjing Univ Sci & Technol PCA Lab Key Lab Intelligent Percept & Syst High Dimens In Minist Educ Nanjing Jiangsu Peoples R China Univ Trento DISI Via Sommar 14 Povo TN Italy Fdn Bruno Kessler Technol Vis Via Sommar 18 Povo TN Italy Telecom Paris Multimedia Grp Paris France Nanjing Univ Sci & Technol Jiangsu Key Lab Image & Video Understanding Socia Sch Comp Sci & Engn Nanjing Peoples R China
Online depth learning is the problem of consistently adapting a depth estimation model to handle a continuously changing environment. This problem is challenging due to the network easily overfits on the current envir... 详细信息
来源: 评论
Ingredient-oriented Multi-Degradation Learning for Image Restoration
Ingredient-oriented Multi-Degradation Learning for Image Res...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Jinghao Huang, Jie Yao, Mingde Yang, Zizheng Yu, Hu Zhou, Man Zhao, Feng Univ Sci & Technol China Hefei Peoples R China
Learning to leverage the relationship among diverse image restoration tasks is quite beneficial for unraveling the intrinsic ingredients behind the degradation. Recent years have witnessed the flourish of various All-... 详细信息
来源: 评论
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
Enriching ImageNet with Human Similarity Judgments and Psych...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Roads, Brett D. Love, Bradley C. UCL Dept Expt Psychol London England
Advances in supervised learning approaches to object recognition flourished in part because of the availability of high-quality datasets and associated benchmarks. However, these benchmarks-such as ILSVRC-are relative... 详细信息
来源: 评论
Visually Informed Binaural Audio Generation without Binaural Audios
Visually Informed Binaural Audio Generation without Binaural...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xu, Xudong Zhou, Hang Liu, Ziwei Dai, Bo Wang, Xiaogang Lin, Dahua Chinese Univ Hong Kong CUHK SenseTime Joint Lab Hong Kong Peoples R China Nanyang Technol Univ S Lab Singapore Singapore
Stereophonic audio, especially binaural audio, plays an essential role in immersive viewing environments. Recent research has explored generating visually guided stereophonic audios supervised by multi-channel audio c... 详细信息
来源: 评论
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
MAD: A Scalable Dataset for Language Grounding in Videos fro...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Soldan, Mattia Pardo, Alejandro Alcazar, Juan Leon Heilbron, Fabian Caba Zhao, Chen Giancola, Silvio Ghanem, Bernard King Abdullah Univ Sci & Technol KAUST Thuwal Saudi Arabia Adobe Res San Jose CA USA
The recent and increasing interest in video-language research has driven the development of large-scale datasets that enable data-intensive machine learning techniques. In comparison, limited effort has been made at a... 详细信息
来源: 评论
Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
Towards Fast and Accurate Real-World Depth Super-Resolution:...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: He, Lingzhi Zhu, Hongguang Li, Feng Bai, Huihui Cong, Runmin Zhang, Chunjie Lin, Chunyu Liu, Meiqin Zhao, Yao Beijing Jiaotong Univ Inst Informat Sci Beijing Key Lab Adv Informat Sci & Network Beijing 100044 Peoples R China
Depth maps obtained by commercial depth sensors are always in low-resolution, making it difficult to be used in various computer vision tasks. Thus, depth map super-resolution (SR) is a practical and valuable task, wh... 详细信息
来源: 评论