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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23240 条 记 录,以下是221-230 订阅
排序:
Proceeding of the ieee computer Scoeity conference on computer vision and pattern recognition: Preface
Proceedings of the IEEE Computer Society Conference on Compu...
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Proceedings of the ieee computer Society conference on computer vision and pattern recognition 2007年
作者: Bhanu, Bir Ratha, Nalini University of California Riverside IBM T. J. Watson Research Center
No abstract available
来源: 评论
Meta Pseudo Labels
Meta Pseudo Labels
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hieu Pham Dai, Zihang Xie, Qizhe Le, Quoc, V Google AI Brain Team Mountain View CA 94043 USA
We present Meta Pseudo Labels, a semi-supervised learning method that achieves a new state-of-the-art top-1 accuracy of 90.2% on ImageNet, which is 1.6% better than the existing state-of-the-art [16]. Like Pseudo Labe... 详细信息
来源: 评论
Deep Global Registration
Deep Global Registration
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Choy, Christopher Dong, Wei Koltun, Vladlen Stanford Univ Stanford CA 94305 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Intel Labs Hillsboro OR USA
We present Deep Global Registration, a differentiable framework for pairwise registration of real-world 3D scans. Deep global registration is based on three modules: a 6-dimensional convolutional network for correspon... 详细信息
来源: 评论
Gesture recognition: Focus on the Hands  31
Gesture Recognition: Focus on the Hands
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31st ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Narayana, Pradyumna Beveridge, J. Ross Draper, Bruce A. Colorado State Univ Ft Collins CO 80523 USA
Gestures are a common form of human communication and important for human computer interfaces (HCI). Recent approaches to gesture recognition use deep learning methods, including multi-channel methods. We show that wh... 详细信息
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I Find Your Lack of Uncertainty in computer vision Disturbing
I Find Your Lack of Uncertainty in Computer Vision Disturbin...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Valdenegro-Toro, Matias German Res Ctr Artificial Intelligence Robert Hooke Str 1 D-28359 Bremen Germany
Neural networks are used for many real world applications, but often they have problems estimating their own confidence. This is particularly problematic for computer vision applications aimed at making high stakes de... 详细信息
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Differentiable Shadow Mapping for Efficient Inverse Graphics
Differentiable Shadow Mapping for Efficient Inverse Graphics
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Worchel, Markus Alexa, Marc TU Berlin Berlin Germany
We show how shadows can be efficiently generated in differentiable rendering of triangle meshes. Our central observation is that pre-filtered shadow mapping, a technique for approximating shadows based on rendering fr... 详细信息
来源: 评论
Bridging the Gap Between Automated and Human Facial Emotion Perception
Bridging the Gap Between Automated and Human Facial Emotion ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Stratton, Derek Hand, Emily Univ Nevada Reno Reno NV 89557 USA
Understanding the complex relationship between emotions and facial expressions is important for both psychologists and computer scientists. A large body of research in psychology investigates facial expressions, emoti... 详细信息
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Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3)
Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of S...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Alexa, Marc TU Berlin Berlin Germany
Super-Fibonacci spirals are an extension of Fibonacci spirals, enabling fast generation of an arbitrary but fixed number of 3D orientations. The algorithm is simple and fast. A comprehensive evaluation comparing to ot... 详细信息
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Efficient CNN Architecture for Multi-modal Aerial View Object Classification
Efficient CNN Architecture for Multi-modal Aerial View Objec...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Miron, Casian Pasarica, Alexandru Timofte, Radu Gheorghe Asachi Tech Univ MCC Resources SRL Iasi Romania
The NTIRE 2021 workshop features a Multi-modal Aerial View Object Classification Challenge. Its focus is on multi-sensor imagery classification in order to improve the performance of automatic target recognition (ATR)... 详细信息
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Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation
Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic S...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Szabo, Attila Jamali-Rad, Hadi Mannava, Siva-Datta Shell Global Solut Int BV Amsterdam Netherlands Delft Univ Technol TU Delft Delft Netherlands
Traditional empirical risk minimization (ERM) for semantic segmentation can disproportionately advantage or disadvantage certain target classes in favor of an (unfair but) improved overall performance. Inspired by the... 详细信息
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