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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5524 条 记 录,以下是251-260 订阅
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A New Non-central Model for Fisheye Calibration
A New Non-central Model for Fisheye Calibration
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Tezaur, Radka Kumar, Avinash Nestares, Oscar Intel Corp Santa Clara CA 95054 USA
A new non-central model suitable for calibrating fisheye cameras is proposed. It is a direct extension of the popular central model developed by Scaramuzza et al., used by Matlab computer vision Toolbox fisheye calibr... 详细信息
来源: 评论
GP22: A Car Styling Dataset for Automotive Designers
GP22: A Car Styling Dataset for Automotive Designers
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lee, Gyunpyo Kim, Taesu Suk, Hyeon-Jeong Korea Adv Inst Sci & Technol Dept Ind Design Color Lab Daejeon South Korea
An automated design data archiving could reduce the time wasted by designers from working creatively and effectively. Though many datasets on classifying, detecting, and instance segmenting on car exterior exist, thes... 详细信息
来源: 评论
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation
Continual Domain Adaptation through Pruning-aided Domain-spe...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Prasanna, B. Sanyal, Sunandini Babu, R. Venkatesh Indian Institute of Science Vision and Ai Lab Bengaluru India
In this paper, we propose to develop a method to address unsupervised domain adaptation (UDA) in a practical setting of continual learning (CL). The goal is to update the model on continually changing domains while pr... 详细信息
来源: 评论
Strain Detection based on Breath and Motion Features Obtained by a Force Sensor for Smart Toilet Systems
Strain Detection based on Breath and Motion Features Obtaine...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Akaho, Rina Yoshioka, Mototaka Panasonic Ind Corp Osaka Japan
Aging people may be prone to accidents in bathrooms and toilets. The detection of strain motion for a smart toilet application has not been studied sufficiently. In this paper, we propose a method for strain detection... 详细信息
来源: 评论
Leveraging Unlabeled Data for Sketch-based Understanding
Leveraging Unlabeled Data for Sketch-based Understanding
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Morales, Javier Murrugarra-Llerena, Nils Saavedra, Jose M. Univ Chile Dept Comp Sci Santiago Chile Weber State Univ Dept Comp Sci Ogden UT 84408 USA Univ Los Andes Santiago Chile
Sketch-based understanding is a critical component of human cognitive learning and is a primitive communication means between humans. This topic has recently attracted the interest of the computer vision community as ... 详细信息
来源: 评论
Guiding Attention using Partial-Order Relationships for Image Captioning
Guiding Attention using Partial-Order Relationships for Imag...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Popattia, Murad Rafi, Muhammad Qureshi, Rizwan Nawaz, Shah Natl Univ Comp & Emerging Sci Karachi Pakistan Hamad Bin Khalifa Univ Doha Qatar Ist Italiano Tecnol IIT Pattern Anal & Comp Vis PAVIS Genoa Italy DESY Hamburg Germany
The use of attention models for automated image captioning has enabled many systems to produce accurate and meaningful descriptions for images. Over the years, many novel approaches have been proposed to enhance the a... 详细信息
来源: 评论
Implications of Solution patterns on Adversarial Robustness
Implications of Solution Patterns on Adversarial Robustness
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Liang, Hengyue Liang, Buyun Sun, Ju Cui, Ying Mitchell, Tim University of Minnesota Department of Electrical & Computer Engineering United States University of Minnesota Department of Computer Science & Engineering United States University of Minnesota Department of Industrial & Systems Engineering United States City University of New York Queens College Department of Computer Science United States
Empirical robustness evaluation (RE) of deep learning models against adversarial perturbations involves solving non-trivial constrained optimization problems. Recent work has shown that these RE problems can be reliab... 详细信息
来源: 评论
PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices
PhoneDepth: A Dataset for Monocular Depth Estimation on Mobi...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Benavides, Fausto Tapia Ignatov, Andrey Timofte, Radu Swiss Fed Inst Technol Zurich Switzerland JMU Wurzburg Wurzburg Germany
Monocular depth estimation has been studied as a classic and learning based computer vision problem for decades. However, little attention received the efficiency and the deployment of methods on mobile hardware. All ... 详细信息
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CORE: Consistent Representation Learning for Face Forgery Detection
CORE: Consistent Representation Learning for Face Forgery De...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ni, Yunsheng Meng, Depu Yu, Changqian Quan, Chengbin Ren, Dongchun Zhao, Youjian Tsinghua Univ Beijing Peoples R China Univ Sci & Technol China Hefei Anhui Peoples R China Meituan Beijing Peoples R China
Face manipulation techniques develop rapidly and arouse widespread public concerns. Despite that vanilla convolutional neural networks achieve acceptable performance, they suffer from the overfitting issue. To relieve... 详细信息
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Can we trust bounding box annotations for object detection?
Can we trust bounding box annotations for object detection?
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Murrugarra-Llerena, Jeffri Kirsten, L. N. Jung, Claudio R. Univ Fed Rio Grande do Sul Inst Informat Porto Alegre RS Brazil
Object detection is a classical problem in computer vision, and the vast majority of approaches require large annotated datasets for training and evaluation purposes. The most popular representations are bounding boxe... 详细信息
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