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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5387 条 记 录,以下是341-350 订阅
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HR-STAN: High-Resolution Spatio-Temporal Attention Network for 3D Human Motion Prediction
HR-STAN: High-Resolution Spatio-Temporal Attention Network f...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Medjaouri, Omar Desai, Kevin Univ Texas San Antonio San Antonio TX 78249 USA
3D human motion prediction requires making sense of the complex spatio-temporal dynamics which underpin human motion to make highly accurate predictions. Part of this complexity is due to the trade-off between long-te... 详细信息
来源: 评论
Using Pure Pollen Species When Training a CNN to Segment Pollen Mixtures
Using Pure Pollen Species When Training a CNN to Segment Pol...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Nana Joos, Victor Jacquemart, A. L. Buyens, Christel De Vleeschouwer, C. UCLouvain ICTEAM Inst Ottignies Belgium UCLouvain ELI Inst Ottignies Belgium
Recognizing the types of pollen grains and estimating their proportion in pollen mixture samples collected in a specific geographical area is important for agricultural, medical, and ecosystem research. Our paper adop... 详细信息
来源: 评论
Facial Expression Classification using Fusion of Deep Neural Network in Video
Facial Expression Classification using Fusion of Deep Neural...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim Ngan Phan Hong-Hai Nguyen Van-Thong Huynh Kim, Soo-Hyung Chonnam Natl Univ Dept Artificial Intelligence Convergence Gwangju South Korea
For computers to recognize human emotions, expression classification is an equally important problem in the human-computer interaction area. In the 3rd Affective Behavior Analysis In-The-Wild competition, the task of ... 详细信息
来源: 评论
SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics
SpiderNet: Hybrid Differentiable-Evolutionary Architecture S...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Geada, Rob McGough, Andrew Stephen Red Hat Newcastle Upon Tyne Tyne & Wear England Newcastle Univ Newcastle Upon Tyne Tyne & Wear England
Neural Architecture Search (NAS) algorithms are intended to remove the burden of manual neural network design, and have shown to be capable of designing excellent models for a variety of well-known problems. However, ... 详细信息
来源: 评论
A Categorized Reflection Removal Dataset with Diverse Real-world Scenes
A Categorized Reflection Removal Dataset with Diverse Real-w...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lei, Chenyang Huang, Xuhua Qi, Chenyang Zhao, Yankun Sun, Wenxiu Yan, Qiong Chen, Qifeng HKUST Hong Kong Peoples R China CMU Pittsburgh PA USA SenseTime Hong Kong Peoples R China
Due to the lack of a large-scale reflection removal dataset with diverse real-world scenes, many existing reflection removal methods are trained on synthetic data plus a small amount of real-world data, which makes it... 详细信息
来源: 评论
An Empirical study of Data-Free Quantization's Tuning Robustness
An Empirical study of Data-Free Quantization's Tuning Robust...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Hong Wen, Yuxuan Ding, Yifu Yang, Zhen Guo, Yufei Qin, Haotong Beihang Univ Beijing Peoples R China Shanghai Aerosp Elect Technol Inst Shanghai Peoples R China China Aerosp Sci & Ind Corp Acad 2 Beijing Peoples R China
Deep convolutional neural networks are now performing increasingly superior in various fields, while the network parameters are getting massive as the advanced neural networks tend to be deeper. Among various model co... 详细信息
来源: 评论
Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images
Few-Shot Supervised Prototype Alignment for Pedestrian Detec...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wiedemer, Thaddaeus Wolf, Stefan Schumann, Arne Ma, Kaisheng Beyerer, Juergen Tsinghua Univ Beijing Peoples R China Karlsruhe Inst Technol Karlsruhe Germany Fraunhofer IOSB Karlsruhe Germany Fraunhofer Ctr Machine Learning St Augustin Germany
Complete and pre-trained models are readily available for download for object detection and can perform well on datasets containing everyday images. Domain adaptation is used to transfer models to more specific datase... 详细信息
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Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective
Semi-Supervised Few-Shot Learning from A Dependency-Discrimi...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hou, Zejiang Kung, Sun-Yuan Princeton Univ Princeton NJ 08544 USA
We study the few-shot learning (FSL) problem, where a model learns to recognize new objects with extremely few labeled training data per category. Most of previous FSL approaches resort to the meta-learning paradigm, ... 详细信息
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Multi-Dimensional vision Transformer Compression via Dependency Guided Gaussian Process Search
Multi-Dimensional Vision Transformer Compression via Depende...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hou, Zejiang Kung, Sun-Yuan Princeton Univ Princeton NJ 08544 USA
vision transformers (ViT) have recently attracted considerable attentions, but the huge computational cost remains an issue for practical deployment. Previous ViT pruning methods tend to prune the model along one dime... 详细信息
来源: 评论
Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysis Enhancement Network and A Generic Feature Extraction Framework
Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysi...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wu, Shaokai Liu, Zhaogeng Pei, Wencheng Hong, Jianbo Li, Zhanshan Jilin Univ Coll Comp Sci & Technol Changchun Peoples R China Jilin Univ Sch Artificial Intelligence Changchun Peoples R China
With bounding box labels needed for training, object detection is viewed unfavorably in terms of crowd analysis, due to the intensive labor for labeling and the unsatisfactory performance in clutters and severe occlus... 详细信息
来源: 评论