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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是3251-3260 订阅
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Long-Tailed Visual recognition via Self-Heterogeneous Integration with Knowledge Excavation
Long-Tailed Visual Recognition via Self-Heterogeneous Integr...
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conference on computer vision and pattern recognition (CVPR)
作者: Yan Jin Mengke Li Yang Lu Yiu-ming Cheung Hanzi Wang Fujian Key Laboratory of Sensing and Computing for Smart City School of Informatics Xiamen University Xiamen China Key Laboratory of Multimedia Trusted Perception and Efficient Computing Ministry of Education of China Xiamen University Xiamen China Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen China Department of Computer Science Hong Kong Baptist University Hong Kong SAR China
Deep neural networks have made huge progress in the last few decades. However, as the real-world data often exhibits a long-tailed distribution, vanilla deep models tend to be heavily biased toward the majority classe...
来源: 评论
PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification
PHA: Patch-Wise High-Frequency Augmentation for Transformer-...
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conference on computer vision and pattern recognition (CVPR)
作者: Guiwei Zhang Yongfei Zhang Tianyu Zhang Bo Li Shiliang Pu Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beihang University Pengcheng Laboratory Hikvision Research Institute
Although recent studies empirically show that injecting Convolutional Neural Networks (CNNs) into vision Transformers (ViTs) can improve the performance of person reidentification, the rationale behind it remains elus...
来源: 评论
Adaptive Zone-aware Hierarchical Planner for vision-Language Navigation
Adaptive Zone-aware Hierarchical Planner for Vision-Language...
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conference on computer vision and pattern recognition (CVPR)
作者: Chen Gao Xingyu Peng Mi Yan He Wang Lirong Yang Haibing Ren Hongsheng Li Si Liu Institute of Artificial Intelligence Beihang University CFCS and School of EECS Peking University Meituan The Chinese University of Hong Kong Hangzhou Innovation Institute Beihang University
The task of vision-Language Navigation (VLN) is for an embodied agent to reach the global goal according to the instruction. Essentially, during navigation, a series of sub-goals need to be adaptively set and achieved...
来源: 评论
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
Performance Evaluation of Segment Anything Model with Variat...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Yona Falinie A. Gaus Neelanjan Bhowmik Brian K. S. Isaac-Medina Toby P. Breckon Department of Computer Science Durham University UK Department of Engineering Durham University UK
The Segment Anything Model (SAM) is a deep neural network foundational model designed to perform instance segmentation which has gained significant popularity given its zero-shot segmentation ability. SAM operates by ... 详细信息
来源: 评论
RangeViT: Towards vision Transformers for 3D Semantic Segmentation in Autonomous Driving
RangeViT: Towards Vision Transformers for 3D Semantic Segmen...
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conference on computer vision and pattern recognition (CVPR)
作者: Angelika Ando Spyros Gidaris Andrei Bursuc Gilles Puy Alexandre Boulch Renaud Marlet Valeo.ai Paris France Centre for Robotics Mines Paris Universite PSL Mines Paris Université PSL Paris France LIGM Ecole des Ponts Univ. Gustave Eiffel CNRS Marne-la-Vallée France
Casting semantic segmentation of outdoor LiDAR point clouds as a 2D problem, e.g., via range projection, is an effective and popular approach. These projection-based methods usually benefit from fast computations and,...
来源: 评论
Global vision Transformer Pruning with Hessian-Aware Saliency
Global Vision Transformer Pruning with Hessian-Aware Salienc...
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conference on computer vision and pattern recognition (CVPR)
作者: Huanrui Yang Hongxu Yin Maying Shen Pavlo Molchanov Hai Li Jan Kautz NVIDIA University of California Berkeley Duke University
Transformers yield state-of-the-art results across many tasks. However, their heuristically designed architecture impose huge computational costs during inference. This work aims on challenging the common design philo...
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Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes
Where We Are and What We're Looking At: Query Based Worldwid...
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conference on computer vision and pattern recognition (CVPR)
作者: Brandon Clark Alec Kerrigan Parth Parag Kulkarni Vicente Vivanco Cepeda Mubarak Shah Center for Research in Computer Vision University of Central Florida Orlando USA
Determining the exact latitude and longitude that a photo was taken is a useful and widely applicable task, yet it remains exceptionally difficult despite the accelerated progress of other computer vision tasks. Most ...
来源: 评论
Siamese Image Modeling for Self-Supervised vision Representation Learning
Siamese Image Modeling for Self-Supervised Vision Representa...
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conference on computer vision and pattern recognition (CVPR)
作者: Chenxin Tao Xizhou Zhu Weijie Su Gao Huang Bin Li Jie Zhou Yu Qiao Xiaogang Wang Jifeng Dai Tsinghua University SenseTime Research Shanghai Artificial Intelligence Laboratory University of Science and Technology of China The Chinese University of Hong Kong
Self-supervised learning (SSL) has delivered superior performance on a variety of downstream vision tasks. Two main-stream SSL frameworks have been proposed, i.e., Instance Discrimination (ID) and Masked Image Modelin...
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Semi-Supervised Video Inpainting with Cycle Consistency Constraints
Semi-Supervised Video Inpainting with Cycle Consistency Cons...
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conference on computer vision and pattern recognition (CVPR)
作者: Zhiliang Wu Hanyu Xuan Changchang Sun Weili Guan Kang Zhang Yan Yan School of Computer Science and Engineering Nanjing University of Science and Technology China School of Big Data and Statistics Anhui University China Department of Computer Science Illinois Institute of Technology USA School of Information Technology Monash University Australia Peng Cheng Laboratory China
Deep learning-based video inpainting has yielded promising results and gained increasing attention from re-searchers. Generally, these methods assume that the cor-rupted region masks of each frame are known and easily...
来源: 评论
HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation
HS-Pose: Hybrid Scope Feature Extraction for Category-level ...
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conference on computer vision and pattern recognition (CVPR)
作者: Linfang Zheng Chen Wang Yinghan Sun Esha Dasgupta Hua Chen Aleš Leonardis Wei Zhang Hyung Jin Chang Department of Mechanical and Energy Engineering Southern University of Science and Technology School of Computer Science University of Birmingham Department of Computer Science The University of Hong Kong Peng Cheng Laboratory Shenzhen China
In this paper, we focus on the problem of category-level object pose estimation, which is challenging due to the large intra-category shape variation. 3D graph convolution (3D-GC) based methods have been widely used t...
来源: 评论