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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581-590 订阅
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SEM-POS: Grammatically and Semantically Correct Video Captioning
SEM-POS: Grammatically and Semantically Correct Video Captio...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Nadeem, Asmar Hilton, Adrian Dawes, Robert Thomas, Graham Mustafa, Annin United Kingdom Bbc Research and Development United Kingdom
Generating grammatically and semantically correct captions in video captioning is a challenging task.. The captions generated from the existing methods are either word-by-word that do not align with grammatical struct... 详细信息
来源: 评论
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective
Investigating Catastrophic Overfitting in Fast Adversarial T...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: He, Zhengbao Li, Tao Chen, Sizhe Huang, Xiaolin Shanghai Jiao Tong University Department of Automation China
Although fast adversarial training provides an efficient approach for building robust networks, it may suffer from a serious problem known as catastrophic overfitting (CO), where multi-step robust accuracy suddenly co... 详细信息
来源: 评论
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding
Mushroom Segmentation and 3D Pose Estimation from Point Clou...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Retsinas, George Efthymiou, Niki Maragos, Petros National Technical University of Athens School of Electrical and Computer Engineering Greece
Modern agricultural applications rely more and more on deep learning solutions. However, training well-performing deep networks requires a large amount of annotated data that may not be available and in the case of 3D... 详细信息
来源: 评论
A Data-Driven Approach based on Dynamic Mode Decomposition for Efficient Encoding of Dynamic Light Fields
A Data-Driven Approach based on Dynamic Mode Decomposition f...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Ravishankar, Joshitha Khaidem, Sally Sharma, Mansi Indian Institute of Technology Madras Department of Electrical Engineering India Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Coimbatore India
Dynamic light fields provide a richer, more realistic 3D representation of a moving scene. However, this leads to higher data rates since excess storage and transmission requirements are needed. We propose a novel app... 详细信息
来源: 评论
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
Lost in Compression: the Impact of Lossy Image Compression o...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bhowmik, Neelanjan Barker, Jack W. Gaus, Yona Falinie A. Breckon, Toby P. Univ Durham Dept Comp Sci Durham England Univ Durham Dept Engn Durham England
Lossy image compression strategies allow for more efficient storage and transmission of data by encoding data to a reduced form. This is essential enable training with larger datasets on less storage-equipped environm... 详细信息
来源: 评论
Exploring Motion Information for Distractor Suppression in Visual Tracking
Exploring Motion Information for Distractor Suppression in V...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Kaiwen Gao, Jin Liu, Haowei Li, Liang Li, Bing Hu, Weiming Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China Univ Chinese Acad Sci Sch AI Beijing Peoples R China Chinese Acad Sci Ctr Excellence Brain Sci & Intelligence Technol Beijing Peoples R China Beijing Inst Basic Med Sci Beijing Peoples R China
In the past few years, Siamese networks have achieved outstanding improvements in visual object tracking. However, visual distractors with similar semantics can be easily misclassified as the target by Siamese network... 详细信息
来源: 评论
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework
OpenFed: A Comprehensive and Versatile Open-Source Federated...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Chen, Dengsheng Tan, Vince Junkai Lu, Zhilin Wu, Enhua Hu, Jie Meituan China Bytedance Inc. China Tsinghua University China University of Macau China State Key Lab of Computer Science Iscas China University of Chinese Academy of Sciences China
Recent developments in Artificial Intelligence techniques have enabled their successful application across a spectrum of commercial and industrial settings. However, these techniques require large volumes of data to b... 详细信息
来源: 评论
t-RAIN: Robust generalization under weather-aliasing label shift attacks
t-RAIN: Robust generalization under weather-aliasing label s...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Marathe, Aboli Prabhu, Sanjana Carnegie Mellon University Machine Learning Department PittsburghPA15213 United States Carnegie Mellon University Department of Electrical and Computer Engineering PittsburghPA15213 United States
In the classical supervised learning settings, classifiers are fit with the assumption of balanced label distributions and produce remarkable results on the same. In the real world, however, these assumptions often be... 详细信息
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Robustness of Visual Explanations to Common Data Augmentation Methods
Robustness of Visual Explanations to Common Data Augmentatio...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Tětková, Lenka Hansen, Lars Kai Technical University of Denmark Department of Applied Mathematics and Computer Science Richard Petersens Plads 321 Lyngby2800 Kgs. Denmark
As the use of deep neural networks continues to grow, understanding their behaviour has become more crucial than ever. Post-hoc explainability methods are a potential solution, but their reliability is being called in... 详细信息
来源: 评论
Flow cytometry with event-based vision and spiking neuromorphic hardware
Flow cytometry with event-based vision and spiking neuromorp...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Abreu, Steven Gouda, Muhammed Lugnan, Alessio Bienstman, Peter University of Groningen Groningen Netherlands Ghent University - Imec Ghent Belgium
Imaging flow cytometry systems play a critical role in the identification and characterization of large populations of cells or micro-particles. Such systems typically leverage deep artificial neural networks to class... 详细信息
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