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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5507 条 记 录,以下是91-100 订阅
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Privacy Leakage of Adversarial Training Models in Federated Learning Systems
Privacy Leakage of Adversarial Training Models in Federated ...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Jingyang Chen, Yiran Li, Hai Duke Univ Dept Elect & Comp Engn Durham NC 27706 USA
Adversarial Training (AT) is crucial for obtaining deep neural networks that are robust to adversarial attacks, yet recent works found that it could also make models more vulnerable to privacy attacks. In this work, w... 详细信息
来源: 评论
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
来源: 评论
Persistent-Transient Duality in Human Behavior Modeling
Persistent-Transient Duality in Human Behavior Modeling
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hung Tran Vuong Le Venkatesh, Svetha Truyen Tran Deakin Univ Appl AI Inst Geelong Vic Australia
We propose to model the persistent-transient duality in human behavior using a parent-child multi-channel neural network, which features a parent persistent channel that manages the global dynamics and children transi... 详细信息
来源: 评论
Does Image Anonymization Impact computer vision Training?
Does Image Anonymization Impact Computer Vision Training?
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hukkelas, Hakon Lindseth, Frank Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway
Image anonymization is widely adapted in practice to comply with privacy regulations in many regions. However, anonymization often degrades the quality of the data, reducing its utility for computer vision development... 详细信息
来源: 评论
CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification
CLIP-Art: Contrastive Pre-training for Fine-Grained Art Clas...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Conde, Marcos, V Turgutlu, Kerem Univ Valladolid Valladolid Spain Adobe Mountain View CA USA
Existing computer vision research in artwork struggles with artwork's fine-grained attributes recognition and lack of curated annotated datasets due to their costly creation. In this work, we use CLIP (Contrastive... 详细信息
来源: 评论
SMM-Conv: Scalar Matrix Multiplication with Zero Packing for Accelerated Convolution
SMM-Conv: Scalar Matrix Multiplication with Zero Packing for...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ofir, Amir Ben-Artzi, Gil Ariel Univ Ariel Israel
We present a novel approach for accelerating convolutions during inference for CPU-based architectures. The most common method of computation involves packing the image into the columns of a matrix (im2col) and perfor... 详细信息
来源: 评论
An Optimal Control Approach for Deformable Registration
An Optimal Control Approach for Deformable Registration
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IEEE-computer-Society conference on computer vision and pattern recognition workshops
作者: Hart, Gabriel L. Zach, Christopher Niethammer, Marc Univ N Carolina Dept Comp Sci Chapel Hill NC 27515 USA
This paper addresses large-displacement-diffeomorphic mapping registration from an optimal control perspective. This viewpoint leads to two complementary formulations. One approach requires the explicit computation of... 详细信息
来源: 评论
Sparklevision: Seeing the World through Random Specular Microfacets
SparkleVision: Seeing the World through Random Specular Micr...
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IEEE conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Zhengdong Isola, Phillip Adelson, Edward H. MIT Cambridge MA 02139 USA
In this paper, we study the problem of reproducing the light from a single image of an object covered with random specular microfacets on the surface. We show that such reflectors can be interpreted as a randomized ma... 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
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