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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121-130 订阅
排序:
Pixel-Guided Dual-Branch Attention Network for Joint Image Deblurring and Super-Resolution
Pixel-Guided Dual-Branch Attention Network for Joint Image D...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xi, Si Wei, Jia Zhang, Weidong Netease Games AI Lab Hangzhou Peoples R China
Image deblurring and super-resolution (SR) are computer vision tasks aiming to restore image detail and spatial scale, respectively. Besides, only a few recent works of literature contribute to this task, as conventio... 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
BCNN: A Binary CNNWith All Matrix Ops Quantized To 1 Bit Precision
BCNN: A Binary CNNWith All Matrix Ops Quantized To 1 Bit Pre...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Redfern, Arthur J. Zhu, Lijun Newquist, Molly K. Texas Instruments Inc 12500 TI Blvd Dallas TX 75243 USA Georgia Inst Technol North Ave NW Atlanta GA 30332 USA
This paper describes a CNN where all CNN style 2D convolution operations that lower to matrix matrix multiplication are fully binary. The network is derived from a common building block structure that is consistent wi... 详细信息
来源: 评论
Compositional Mixture Representations for vision and Text
Compositional Mixture Representations for Vision and Text
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Alaniz, Stephan Federici, Marco Akata, Zeynep Univ Tubingen Tubingen Germany Max Planck Inst Informat Saarbrucken Germany Univ Amsterdam Amsterdam Netherlands
Learning a common representation space between vision and language allows deep networks to relate objects in the image to the corresponding semantic meaning. We present a model that learns a shared Gaussian mixture re... 详细信息
来源: 评论
Shadow Removal with Paired and Unpaired Learning
Shadow Removal with Paired and Unpaired Learning
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Vasluianu, Florin-Alexandru Romero, Andres Van Gool, Luc Timofte, Radu Swiss Fed Inst Technol Zurich Switzerland
Shadow removal is an important computer vision task aiming at the detection and successful removal of the shadow produced by an occluded light source and a photorealistic restoration of the image contents. Decades of ... 详细信息
来源: 评论
Fast Solvers for Minimal Radial Distortion Relative Pose Problems
Fast Solvers for Minimal Radial Distortion Relative Pose Pro...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Oskarsson, Magnus Lund Univ Ctr Math Sci Lund Sweden
In this paper we present a unified formulation for a large class of relative pose problems with radial distortion and varying calibration. For minimal cases, we show that one can eliminate the number of parameters dow... 详细信息
来源: 评论
Anomaly Detection in Autonomous Driving: A Survey
Anomaly Detection in Autonomous Driving: A Survey
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Bogdoll, Daniel Nitsche, Maximilian Zoellner, J. Marius FZI Res Ctr Informat Technol Karlsruhe Germany KIT Karlsruhe Inst Technol Karlsruhe Germany
Nowadays, there are outstanding strides towards a future with autonomous vehicles on our roads. While the perception of autonomous vehicles performs well under closed-set conditions, they still struggle to handle the ... 详细信息
来源: 评论
Simultaneous Identification and Tracking of Multiple People using Video and IMUs  32
Simultaneous Identification and Tracking of Multiple People ...
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32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Henschel, Roberto von Marcard, Timo Rosenhahn, Bodo Leibniz Univ Hannover Hannover Germany
Most modern approaches for multiple people tracking rely on human appearance to exploit similarity between person detections. In this work, we propose an alternative tracking method that does not depend on visual appe... 详细信息
来源: 评论
Line Art Colorization with Concatenated Spatial Attention
Line Art Colorization with Concatenated Spatial Attention
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yuan, Mingcheng Simo-Serra, Edgar Waseda Univ Tokyo Japan
Line art plays a fundamental role in illustration and design, and allows for iteratively polishing designs. However, as they lack color, they can have issues in conveying final designs. In this work, we propose an int... 详细信息
来源: 评论
Simplifying Transformations for a Family of Elastic Metrics on the Space of Surfaces
Simplifying Transformations for a Family of Elastic Metrics ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Su, Zhe Bauer, Martin Klassen, Eric Gallivan, Kyle Florida State Univ Dept Math Tallahassee FL 32306 USA
We define a new representation for immersed surfaces in R-3 by combining the SRNF and the induced surface metric. Using the L-2 metric on the space of SRNFs and the DeWitt metric on the space of surface metrics, we ob... 详细信息
来源: 评论