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检索条件"任意字段=2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016"
21006 条 记 录,以下是4891-4900 订阅
排序:
Self Texture Transfer Networks for Low Bitrate Image Compression
Self Texture Transfer Networks for Low Bitrate Image Compres...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Iwai, Shoma Miyazaki, Tomo Sugaya, Yoshihiro Omachi, Shinichiro Tohoku Univ Grad Sch Engn Dept Commun Sendai Miyagi Japan
Lossy image compression causes a loss of texture, especially at low bitrate. To mitigate this problem, we propose a novel image compression method that utilizes a reference-based image super-resolution model. We use t... 详细信息
来源: 评论
Federated Learning with Position-Aware Neurons
Federated Learning with Position-Aware Neurons
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Li, Xin-Chun Xu, Yi-Chu Song, Shaoming Li, Bingshuai Li, Yinchuan Shao, Yunfeng Zhan, De-Chuan Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Huawei Noahs Ark Lab Hong Kong Peoples R China
Federated Learning (FL) fuses collaborative models from local nodes without centralizing users' data. The permutation invariance property of neural networks and the non-i.i.d. data across clients make the locally ... 详细信息
来源: 评论
Re-ranking Person Re-identification with k-reciprocal Encoding  30
Re-ranking Person Re-identification with <i>k</i>-reciprocal...
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30th ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhong, Zhun Zheng, Liang Cao, Donglin Li, Shaozi Xiamen Univ Cognit Sci Dept Xiamen Peoples R China Univ Technol Sydney Sydney NSW Australia Xiamen Univ Fujian Key Lab Brain Inspired Comp Tech & Applica Xiamen Peoples R China
When considering person re-identification (re-ID) as a retrieval process, re-ranking is a critical step to improve its accuracy. Yet in the re-ID community, limited effort has been devoted to re-ranking, especially th... 详细信息
来源: 评论
VLPD: Context-Aware Pedestrian Detection via vision-Language Semantic Self-Supervision
VLPD: Context-Aware Pedestrian Detection via Vision-Language...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Liu, Mengyin Jiang, Jie Zhu, Chao Yin, Xu-Cheng Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing Peoples R China Tencent Data Platform Dept Shenzhen Peoples R China
Detecting pedestrians accurately in urban scenes is significant for realistic applications like autonomous driving or video surveillance. However, confusing human-like objects often lead to wrong detections, and small... 详细信息
来源: 评论
Consensus Maximization with Linear Matrix Inequality Constraints  30
Consensus Maximization with Linear Matrix Inequality Constra...
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30th ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Speciale, Pablo Paudel, Danda P. Oswald, Martin R. Kroeger, Till Gool, Luc V. Pollefeys, Marc Swiss Fed Inst Technol Dept Comp Sci Zurich Switzerland Swiss Fed Inst Technol D ITET Comp Vis Lab Zurich Switzerland Microsoft Corp Redmond WA 98052 USA Katholieke Univ Leuven ESAT PSI VISICS Leuven Belgium
Consensus maximization has proven to be a useful tool for robust estimation. While randomized methods like RANSAC are fast, they do not guarantee global optimality and fail to manage large amounts of outliers. On the ... 详细信息
来源: 评论
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
SG-Net: Spatial Granularity Network for One-Stage Video Inst...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Liu, Dongfang Cui, Yiming Tan, Wenbo Chen, Yingjie Purdue Univ W Lafayette IN 47907 USA Univ Florida Gainesville FL 32611 USA Hangzhou Dian Zi Univ Hangzhou Zhejiang Peoples R China
Video instance segmentation (VIS) is a new and critical task in computer vision. To date, top-performing VIS methods extend the two-stage Mask R-CNN by adding a tracking branch, leaving plenty of room for improvement.... 详细信息
来源: 评论
Domain Consensus Clustering for Universal Domain Adaptation
Domain Consensus Clustering for Universal Domain Adaptation
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Li, Guangrui Kang, Guoliang Zhu, Yi Wei, Yunchao Yang, Yi Univ Technol Sydney ReLER Lab AAII Sydney NSW Australia Carnegie Mellon Univ Pittsburgh PA 15213 USA Amazon Web Serv Seattle WA USA
In this paper, we investigate Universal Domain Adaptation (UniDA) problem, which aims to transfer the knowledge from source to target under unaligned label space. The main challenge of UniDA lies in how to separate co... 详细信息
来源: 评论
An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM  32
An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Geneva, Patrick Maley, James Huang, Guoquan Univ Delaware Newark DE 19716 USA
It holds great implications for practical applications to enable centimeter-accuracy positioning for mobile and wearable sensor systems. In this paper, we propose a novel, high-precision, efficient visual-inertial (VI... 详细信息
来源: 评论
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections
Iterative Next Boundary Detection for Instance Segmentation ...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Gillert, Alexander Resente, Giulia Anadon-Rosell, Alba Wilmking, Martin von Lukas, Uwe Freiherr Fraunhofer Inst Comp Graph Res IGD Rostock Germany Ernst Moritz Arndt Univ Inst Bot & Landscape Ecol Greifswald Germany Ctr Res Ecol & Forestry Applicat CREAF Barcelona Spain Univ Rostock Inst Visual & Analyt Comp Rostock Germany
We address the problem of detecting tree rings in microscopy images of shrub cross sections. This can be regarded as a special case of the instance segmentation task with several unique challenges such as the concentr... 详细信息
来源: 评论
NFormer: Robust Person Re-identification with Neighbor Transformer
NFormer: Robust Person Re-identification with Neighbor Trans...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Haochen Shen, Jiayi Liu, Yongtuo Gao, Yan Gavves, Efstratios Univ Amsterdam Amsterdam Netherlands Xiaohongshu Inc Shanghai Peoples R China
Person re-identification aims to retrieve persons in highly varying settings across different cameras and scenarios, in which robust and discriminative representation learning is crucial. Most research considers learn... 详细信息
来源: 评论