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检索条件"任意字段=1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992"
6449 条 记 录,以下是451-460 订阅
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DeSI: Deepfake Source Identifier for Social Media
DeSI: Deepfake Source Identifier for Social Media
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Narayan, Kartik Agarwal, Harsh Mittal, Surbhi Thakral, Kartik Kundu, Suman Vatsa, Mayank Singh, Richa IIT Jodhpur Karwar Rajasthan India
Social media holds the power to influence a significant change in the population. Through social media, people all around the world can connect and share their views. However, this social space is now infected due to ... 详细信息
来源: 评论
Mitigating Paucity of Data in Sinusoid Characterization Using Generative Synthetic Noise
Mitigating Paucity of Data in Sinusoid Characterization Usin...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Sattarzadeh, Sam Shalmani, Shervin Manzuri Azad, Shervin Goldspot Discoveries Corp Montreal PQ Canada
Although the remarkable breakthrough offered by Deep Learning (DL) models in numerous computer vision tasks, the need to acquire large amounts of high-quality natural data and fine-grained annotations is a shortcoming... 详细信息
来源: 评论
Efficient Two-stage Model Retraining for Machine Unlearning
Efficient Two-stage Model Retraining for Machine Unlearning
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kim, Junyaup Woo, Simon S. PurpleChips Seoul South Korea Sungkyunkwan Univ Seoul South Korea
With the rise of the General Data Protection Regulation (GDPR), user data holders should guarantee the "individual's right to be forgotten". It means user data holders must completely remove user data wh... 详细信息
来源: 评论
Does Federated Dropout actually work?
Does Federated Dropout actually work?
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Cheng, Gary Charles, Zachary Garrett, Zachary Rush, Keith Stanford Univ Stanford CA 94305 USA Google Res Mountain View CA USA
Model sizes are limited in Federated Learning due to network bandwidth and on-device memory constraints. The success of increasing model sizes in other machine learning domains motivates the development of methods for... 详细信息
来源: 评论
Learning to Ask Informative Sub-Questions for Visual Question Answering
Learning to Ask Informative Sub-Questions for Visual Questio...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Uehara, Kohei Duan, Nan Harada, Tatsuya Univ Tokyo Tokyo Japan Microsoft Res Asia Beijing Peoples R China Univ Tokyo RIKEN Tokyo Japan
VQA (Visual Question Answering) model tends to make incorrect inferences for questions that require reasoning over world knowledge. Recent study has shown that training VQA models with questions that provide lower-lev... 详细信息
来源: 评论
Few-Shot Image Classification Along Sparse Graphs
Few-Shot Image Classification Along Sparse Graphs
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Comer, Joseph F. Jacobson, Philip L. Hoffmann, Heiko HRL Labs LLC 3011 Malibu Canyon Rd Malibu CA 90265 USA
Few-shot learning remains a challenging problem, with unsatisfactory 1-shot accuracies for most real-world data. Here, we present a new perspective for data distributions in the feature space of a deep network and sho... 详细信息
来源: 评论
True Black-Box Explanation in Facial Analysis
True Black-Box Explanation in Facial Analysis
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Mery, Domingo Pontificia Univ Catolica Chile Sch Engn Dept Comp Sci Santiago Chile
When explaining a recognition approach that can be used in facial analysis, e.g. face verification, face detection, attribute recognition, etc., the task is to answer: how relevant are the parts of a given image to es... 详细信息
来源: 评论
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
LayoutFormer++: Conditional Graphic Layout Generation via Co...
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2023 ieee/CVF conference on computer vision and pattern recognition, cvpr 2023
作者: Jiang, Zhaoyun Guo, Jiaqi Sun, Shizhao Deng, Huayu Wu, Zhongkai Mijovic, Vuksan Yang, Zijiang James Lou, Jian-Guang Zhang, Dongmei Xi'an Jiaotong University China Microsoft Research Asia China Shanghai Jiaotong University China Beihang University China Microsoft
Conditional graphic layout generation, which generates realistic layouts according to user constraints, is a challenging task that has not been well-studied yet. First, there is limited discussion about how to handle ... 详细信息
来源: 评论
Perfusion assessment via local remote photoplethysmography (rPPG)
Perfusion assessment via local remote photoplethysmography (...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kossack, Benjamin Wisotzky, Eric Eisert, Peter Schraven, Sebastian P. Globke, Brigitta Hilsmann, Anna Fraunhofer Heinrich Hertz Inst Berlin Germany Humboldt Univ Berlin Germany Rostock Univ Dept Otorhinolaryngol Head & Neck Surg Otto Korne Med Ctr Rostock Germany Charite Univ Med Berlin Dept Surg Berlin Germany
This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to detect whether a tissue is adequately... 详细信息
来源: 评论
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyr...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Huo, Dong Masoumzadeh, Abbas Yang, Yee-Hong Univ Alberta Dept Comp Sci Edmonton AB Canada
Many deep learning based methods are designed to remove non-uniform (spatially variant) motion blur caused by object motion and camera shake without knowing the blur kernel. Some methods directly output the latent sha... 详细信息
来源: 评论