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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000"
19489 条 记 录,以下是4761-4770 订阅
排序:
Domain Consensus Clustering for Universal Domain Adaptation
Domain Consensus Clustering for Universal Domain Adaptation
收藏 引用
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
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization
Learning to Refactor Action and Co-occurrence Features for T...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Xia, Kun Wang, Le Zhou, Sanping Zheng, Nanning Tang, Wei Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian Peoples R China Univ Illinois Chicago IL USA
The main challenge of Temporal Action Localization is to retrieve subtle human actions from various co-occurring ingredients, e.g., context and background, in an untrimmed video. While prior approaches have achieved s... 详细信息
来源: 评论
Deep Stable Learning for Out-Of-Distribution Generalization
Deep Stable Learning for Out-Of-Distribution Generalization
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Xingxuan Cui, Peng Xu, Renzhe Zhou, Linjun He, Yue Shen, Zheyan Tsinghua Univ Dept Comp Sci Beijing Peoples R China Beijing Key Lab Networked Multimedia Beijing Peoples R China
Approaches based on deep neural networks have achieved striking performance when testing data and training data share similar distribution, but can significantly fail otherwise. Therefore, eliminating the impact of di... 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
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
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
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation  30
RefineNet: Multi-Path Refinement Networks for High-Resolutio...
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30th ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Lin, Guosheng Milan, Anton Shen, Chunhua Reid, Ian Nanyang Technol Univ Singapore Singapore Univ Adelaide Adelaide SA Australia Australian Ctr Robot Vis Brisbane Qld Australia
Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classification problems such as semantic segmentation. Ho... 详细信息
来源: 评论
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust ...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Xu, Yan Lin, Kwan-Yee Zhang, Guofeng Wang, Xiaogang Li, Hongsheng Chinese Univ Hong Kong Hong Kong Peoples R China Zhejiang Univ State Key Lab CAD&CG Hangzhou Peoples R China
6-DoF object pose estimation from a monocular image is challenging, and a post-refinement procedure is generally needed for high-precision estimation. In this paper, we propose a framework based on a recurrent neural ... 详细信息
来源: 评论
SaCo Loss: Sample-wise Affinity Consistency for vision-Language Pre-training
SaCo Loss: Sample-wise Affinity Consistency for Vision-Langu...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wu, Sitong Tan, Haoru Tian, Zhuotao Chen, Yukang Qi, Xiaojuan Jia, Jiaya CUHK Hong Kong Peoples R China HKU Hong Kong Peoples R China SmartMore Hong Kong Peoples R China
vision-language pre-training (VLP) aims to learn joint representations of vision and language modalities. The contrastive paradigm is currently dominant in this field. However, we observe a notable misalignment phenom... 详细信息
来源: 评论
Polygonal Point Set Tracking
Polygonal Point Set Tracking
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Nam, Gunhee Heo, Miran Oh, Seoung Wug Lee, Joon-Young Kim, Seon Joo Lunit Inc Seoul South Korea Yonsei Univ Seoul South Korea Adobe Res Redmond WA USA
In this paper, we propose a novel learning-based polygonal point set tracking method. Compared to existing video object segmentation (VOS) methods that propagate pixel-wise object mask information, we propagate a poly... 详细信息
来源: 评论