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检索条件"任意字段=Conference on Computer Vision and Pattern Recognition"
31048 条 记 录,以下是4321-4330 订阅
Source-Free Domain Adaptation for Semantic Segmentation
Source-Free Domain Adaptation for Semantic Segmentation
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Yuang Zhang, Wei Wang, Jun East China Normal Univ Shanghai Peoples R China
Unsupervised Domain Adaptation (UDA) can tackle the challenge that convolutional neural network (CNN)-based approaches for semantic segmentation heavily rely on the pixel-level annotated data, which is labor-intensive... 详细信息
来源: 评论
Learning Position and Target Consistency for Memory-based Video Object Segmentation
Learning Position and Target Consistency for Memory-based Vi...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hu, Li Zhang, Peng Zhang, Bang Pan, Pan Xu, Yinghui Jin, Rong Alibaba Grp Machine Intelligence Technol Lab Hangzhou Peoples R China
This paper studies the problem of semi-supervised video object segmentation(VOS). Multiple works have shown that memory-based approaches can be effective for video object segmentation. They are mostly based on pixel-l... 详细信息
来源: 评论
Unified Face Attack Detection with Micro Disturbance and a Two-Stage Training Strategy
Unified Face Attack Detection with Micro Disturbance and a T...
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IEEE computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Jiaruo Yu Dagong Lu Xingyue Shi Chenfan Qu Fengjun Guo IntSig Information Co. Ltd Shanghai China
Face recognition systems are widely used in real-world scenarios but are susceptible to physical and digital attacks. Effective methods for unified detection of both physical face attacks and digital face attacks are ... 详细信息
来源: 评论
Video Object Segmentation Using Global and Instance Embedding Learning
Video Object Segmentation Using Global and Instance Embeddin...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ge, Wenbin Lu, Xiankai Shen, Jianbing Beijing Inst Technol Beijing Peoples R China Shandong Univ Sch Software Jinan Peoples R China Incept Inst Artificial Intelligence Beijing Peoples R China
In this paper, we propose a feature embedding based video object segmentation (VOS) method which is simple, fast and effective. The current VOS task involves two main challenges: object instance differentiation and cr... 详细信息
来源: 评论
Collaborative Image and Object Level Features for Image Colourisation
Collaborative Image and Object Level Features for Image Colo...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Pucci, Rita Micheloni, Christian Martinel, Niki Univ Udine Udine Italy
Image colourisation is an ill-posed problem, with multiple correct solutions which depend on the context and object instances present in the input datum. Previous approaches attacked the problem either by requiring in... 详细信息
来源: 评论
Visual Event-Based Egocentric Human Action recognition  10th
Visual Event-Based Egocentric Human Action Recognition
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10th Iberian conference on pattern recognition and Image Analysis (IbPRIA)
作者: Moreno-Rodriguez, Francisco J. Javier Traver, V Barranco, Francisco Dimiccoli, Mariella Pla, Filiberto Univ Jaume 1 Castellon de La Plana Spain Univ Jaume 1 Inst New Imaging Technol Castellon de La Plana Spain Univ Granada CITIC Dept Comp Architecture & Technol Granada Spain Inst Robot & Informat Ind CSIC UPC Barcelona Spain
This paper lies at the intersection of three research areas: human action recognition, egocentric vision, and visual event-based sensors. The main goal is the comparison of egocentric action recognition performance un... 详细信息
来源: 评论
SwiftNet: Real-time Video Object Segmentation
SwiftNet: Real-time Video Object Segmentation
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Haochen Jiang, Xiaolong Ren, Haibing Hu, Yao Bai, Song Alibaba Youku Cognit & Intelligent Lab Beijing Peoples R China Univ Oxford Oxford England
In this work we present SwiftNet for real-time semisupervised video object segmentation (one-shot VOS), which reports 77.8% J&F and 70 FPS on DAVIS 2017 validation dataset, leading all present solutions in overall... 详细信息
来源: 评论
Tailored visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting
Tailored Visions: Enhancing Text-to-Image Generation with Pe...
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conference on computer vision and pattern recognition (CVPR)
作者: Zijie Chen Lichao Zhang Fangsheng Weng Lili Pan Zhenzhong Lan Zhejiang University Westlake University Scietrain University of Electronic Science and Technology of China
Despite significant progress in the field, it is still challenging to create personalized visual representations that align closely with the desires and preferences of individ-ual users. This process requires users to... 详细信息
来源: 评论
CompositeTasking: Understanding Images by Spatial Composition of Tasks
CompositeTasking: Understanding Images by Spatial Compositio...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Popovic, Nikola Paudel, Danda Pani Probst, Thomas Sun, Guolei Van Gool, Luc Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland Katholieke Univ Leuven ESAT PSI VISICS Leuven Belgium
We define the concept of CompositeTasking as the fusion of multiple, spatially distributed tasks, for various aspects of image understanding. Learning to perform spatially distributed tasks is motivated by the frequen... 详细信息
来源: 评论
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
PU-GCN: Point Cloud Upsampling using Graph Convolutional Net...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Qian, Guocheng Abualshour, Abdulellah Li, Guohao Thabet, Ali Ghanem, Bernard King Abdullah Univ Sci & Technol KAUST Abu Dhabi U Arab Emirates
The effectiveness of learning-based point cloud upsampling pipelines heavily relies on the upsampling modules and feature extractors used therein. For the point upsampling module, we propose a novel model called NodeS... 详细信息
来源: 评论