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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141-150 订阅
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CE-PeopleSeg: Real-time people segmentation with 10% CPU usage for video conference
CE-PeopleSeg: Real-time people segmentation with 10% CPU usa...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Ziyu He, Zhenhua Huang, Xueqin Yang, Zibin Tan, Pearl Texas A&M Univ College Stn TX 77843 USA EEO Washington DC USA
Nowadays, video conference solutions are widely adopted for companies, education, and government. People segmentation is crucial for supporting virtual background, an essential video conference function to protect use... 详细信息
来源: 评论
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting Completing M.C Escher's Print Gallery
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting C...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cipolina-Kun, Lucia Caenazzo, Simone Mazzei, Gaston ML Collect San Francisco CA 94117 USA Riskcare Ltd London England Univ Paris Saclay CNRS LISN VENISE Team Orsay France
Digital art restoration has benefited from inpainting models to correct the degradation or missing sections of a painting. This work compares three current state-of-the art models for inpainting of large missing regio... 详细信息
来源: 评论
One-Shot GAN: Learning to Generate Samples from Single Images and Videos
One-Shot GAN: Learning to Generate Samples from Single Image...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sushko, Vadim Gall, Juergen Khoreva, Anna Bosch Ctr Artificial Intelligence Stuttgart Germany Univ Bonn Bonn Germany
Training GANs in low-data regimes remains a challenge, as overfitting often leads to memorization or training divergence. In this work, we introduce One-Shot GAN that can learn to generate samples from a training set ... 详细信息
来源: 评论
CPARR: Category-based Proposal Analysis for Referring Relationships
CPARR: Category-based Proposal Analysis for Referring Relati...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: He, Chuanzi Zhu, Haidong Gao, Jiyang Chen, Kan Nevatia, Ram Univ Southern Calif Los Angeles CA 90007 USA
The task of referring relationships is to localize subject and object entities in an image satisfying a relationship query, which is given in the form of . This requires simultaneous localization of the subject and ob... 详细信息
来源: 评论
ObjectGraphs: Using Objects and a Graph Convolutional Network for the Bottom-up recognition and Explanation of Events in Video
ObjectGraphs: Using Objects and a Graph Convolutional Networ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gkalelis, Nikolaos Goulas, Andreas Galanopoulos, Damianos Mezaris, Vasileios CERTH ITI 6th Km Charilaou Thermi RdPOB 60361 Thessaloniki Greece
In this paper a novel bottom-up video event recognition approach is proposed, ObjectGraphs, which utilizes a rich frame representation and the relations between objects within each frame. Following the application of ... 详细信息
来源: 评论
ReMP: Rectified Metric Propagation for Few-Shot Learning
ReMP: Rectified Metric Propagation for Few-Shot Learning
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Yang Li, Chunyuan Yu, Ping Chen, Changyou Univ Buffalo Buffalo NY 14260 USA Microsoft Res Redmond WA USA
Few-shot learning features the capability of generalizing from a few examples. In this paper, we first identify that a discriminative feature space, namely a rectified metric space, that is learned to maintain the met... 详细信息
来源: 评论
Leveraging combinatorial testing for safety-critical computer vision datasets
Leveraging combinatorial testing for safety-critical compute...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gladisch, Christoph Heinzemann, Christian Herrmann, Martin Woehrle, Matthias Robert Bosch GmbH Corp Res Gerlingen Germany
Deep learning-based approaches have gained popularity for environment perception tasks such as semantic segmentation and object detection from images. However, the different nature of a data-driven deep neural nets (D... 详细信息
来源: 评论
Color Me Good: Branding in the Coloring Style of Movie Posters
Color Me Good: Branding in the Coloring Style of Movie Poste...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Agrawal, Rishabh Sivaprasad, Sarath Pedanekar, Niranjan TCS Res Tata Consultancy Serv Pune 411013 Maharashtra India
Brand logos are often rendered in a different style based on a context such as an event promotion. For example, Warner Bros. uses a different variety of their brand logo for different movies for promotion and aestheti... 详细信息
来源: 评论
Towards computer vision powered color-nutrient assessment of pureed food  32
Towards computer vision powered color-nutrient assessment of...
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32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Pfisterer, Kaylen J. Amelard, Robert Syrnyk, Braeden Wong, Alexander Univ Waterloo Vis & Image Proc Res Grp Waterloo ON Canada Schlegel UW Res Inst Aging Waterloo ON Canada
With one in four individuals afflicted with malnutrition, computer vision may provide a way of introducing a new level of automation in the nutrition field to reliably monitor food and nutrient intake. In this study, ... 详细信息
来源: 评论
DNAS:A Decoupled Global Neural Architecture Search Method
DNAS:A Decoupled Global Neural Architecture Search Method
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xu, Kepeng He, Gang Xidian Univ Xian Peoples R China Kuaishou Technol Beijing Peoples R China
Neural Architecture Search (NAS) can automatically design model architecture with better performance. Current researchers have searched for local architecture similar to block, then stacked to construct entire models,... 详细信息
来源: 评论