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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3281-3290 订阅
排序:
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles
Deep-Learning-Based Aerial Image Classification for Emergenc...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Christos Kyrkou Theocharis Theocharides KIOS Research and Innovation Center of Excellence University of Cyprus Nicosia Cyprus Department of Electrical and Computer Engineering KIOS Research and Innovation Center of Excellence University of Cyprus Nicosia Cyprus
Unmanned Aerial Vehicles (UAVs), equipped with camera sensors can facilitate enhanced situational awareness for many emergency response and disaster management applications since they are capable of operating in remot...
来源: 评论
Efficient and Accurate Face Alignment by Global Regression and Cascaded Local Refinement
Efficient and Accurate Face Alignment by Global Regression a...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jinzhan Su Zhe Wang Chunyuan Liao Haibin Ling Meitu Inc Hiscene Technology Temple University
Despite great advances witnessed on facial image alignment in recent years, high accuracy high speed face alignment algorithms still have rooms to improve especially for applications where computation resources are li... 详细信息
来源: 评论
Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems
Leveraging Confident Points for Accurate Depth Refinement on...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Fabio Tosi Matteo Poggi Stefano Mattoccia Department of Computer Science and Engineering (DISI) University of Bologna Italy
Despite the notable progress in stereo disparity estimation, algorithms are still prone to errors in challenging conditions. Thus, heuristic disparity refinement techniques are usually deployed to improve accuracy. Mo... 详细信息
来源: 评论
Transfer Learning for Classifying Single Hand Gestures on Comprehensive Bharatanatyam Mudra Dataset
Transfer Learning for Classifying Single Hand Gestures on Co...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Anuja P. Parameshwaran Heta P. Desai Rajshekhar Sunderraman Michael Weeks Georgia State University
For any dance form, either classical or folk, visual expressions - facial expressions and hand gestures play a key role in conveying the storyline of the accompanied music to the audience. Bharatanatyam - a classical ... 详细信息
来源: 评论
Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps
Condensation-Net: Memory-Efficient Network Architecture With...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Tse-Wei Chen Motoki Yoshinaga Hongxing Gao Wei Tao Dongchao Wen Junjie Liu Kinya Osa Masami Kato Device Technology Development Headquarters Canon Inc. Tokyo Japan Canon Information Technology (Beijing) Co. Ltd. Haidian Beijing China
Lightweight convolutional neural networks is an important research topic in the field of embedded vision. To implement image recognition tasks on a resource-limited hardware platform, it is necessary to reduce the mem... 详细信息
来源: 评论
Deep Anchored Convolutional Neural Networks
Deep Anchored Convolutional Neural Networks
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jiahui Huang Kshitij Dwivedi Gemma Roig Singapore University of Technology and Design
Convolutional Neural Networks (CNNs) have been proven to be extremely successful at solving computer vision tasks. State-of-the-art methods favor such deep network architectures for its accuracy performance, with the ... 详细信息
来源: 评论
Single Image Based Metric Learning via Overlapping Blocks Model for Person Re-Identification
Single Image Based Metric Learning via Overlapping Blocks Mo...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Yipeng Chen Cairong Zhao Tianli Sun Department of Computer Science and Technology Tongji University Shanghai China
Considering the pedestrian structure characteristics, the first step of many person re-identification algorithms is to divide the pedestrian images or feature map into several blocks, and then the blocks in the same l... 详细信息
来源: 评论
Robust Visual Tracking via Collaborative and Reinforced Convolutional Feature Learning
Robust Visual Tracking via Collaborative and Reinforced Conv...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Dongdong Li Yangliu Kuai Gongjian Wen Li Liu College of Electronic Science and Technology National University of Defense Technology China College of System Engineering National University of Defense Technology China Center for Machine Vision and Signal Analysis University of Oulu Finland
Convolutional neural networks are potent models that yield hierarchies of features and have drawn increasing interest in the visual tracking field. In the paper, we design an end-to-end trainable tracking framework ba... 详细信息
来源: 评论
2D-3D Heterogeneous Face recognition Based on Deep Coupled Spectral Regression
2D-3D Heterogeneous Face Recognition Based on Deep Coupled S...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Yangtao Zheng Di Huang Weixin Li Shupeng Wang Yunhong Wang IRIP Lab School of Computer Science and Engineering Beihang University Beijing China
As one of the major branches in Face recognition (FR), 2D-3D Heterogeneous FR (HFR), where face comparison is achieved across the texture and shape modalities, has become more important. This paper proposes a novel de... 详细信息
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Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing
Multiscale Kernels for Enhanced U-Shaped Network to Improve ...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Heng Wang Donghao Zhang Yang Song Siqi Liu Heng Huang Mei Chen Hanchuan Peng Weidong Cai School of Computer Science University of Sydney Australia School of Computer Science and Engineering University of New South Wales Australia Digital Services Digital Technology & Innovation Siemens Healthineers USA Department of Electrical and Computer Engineering University of Pittsburgh USA Department of Informatics University of Albany State University of New York USA Allen Institute for Brain Science USA
Digital neuron morphology reconstruction from three-dimensional (3D) volumetric optical microscope images is an important procedure to rebuild the connections and structures of neural circuits. Even though many approa... 详细信息
来源: 评论