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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5524 条 记 录,以下是381-390 订阅
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
Adversarial Machine Learning Attacks Against Video Anomaly D...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mumcu, Furkan Doshi, Keval Yilmaz, Yasin Univ S Florida 4202 E Fowler Ave Tampa FL 33620 USA
Anomaly detection in videos is an important computer vision problem with various applications including automated video surveillance. Although adversarial attacks on image understanding models have been heavily invest... 详细信息
来源: 评论
Semantic Segmentation for Thermal Images: A Comparative Survey
Semantic Segmentation for Thermal Images: A Comparative Surv...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kutuk, Zulfiye Algan, Gorkem Aselsan Inc Dept Image Proc & Comp Vis Technol Ankara Turkey
Semantic segmentation is a challenging task since it requires excessively more low-level spatial information of the image compared to other computer vision problems. The accuracy of pixel-level classification can be a... 详细信息
来源: 评论
Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining
Doubling down: sparse grounding with an additional, almost-m...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Nebbia, Giacomo Kovashka, Adriana Univ Pittsburgh Pittsburgh PA 15260 USA
A common paradigm in deep learning applications for computer vision is self-supervised pretraining followed by supervised fine-tuning on a target task. In the self-supervision step, a model is trained in a supervised ... 详细信息
来源: 评论
Self-supervised Learning for Sonar Image Classification
Self-supervised Learning for Sonar Image Classification
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Preciado-Grijalva, Alan Wehbe, Bilal Firvida, Miguel Bande Valdenegro-Toro, Matias German Res Ctr Artificial Intelligence D-28359 Bremen Germany Bonn Rhein Sieg Univ Appl Sci D-53757 St Augustin Germany Univ Groningen Dept AI NL-9747 AG Groningen Netherlands
Self-supervised learning has proved to be a powerful approach to learn image representations without the need of large labeled datasets. For underwater robotics, it is of great interest to design computer vision algor... 详细信息
来源: 评论
Transformaly - Two (Feature Spaces) Are Better Than One
Transformaly - Two (Feature Spaces) Are Better Than One
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cohen, Matan Jacob Avidan, Shai Tel Aviv Univ Blavatnik Sch Comp Sci Tel Aviv Israel Tel Aviv Univ Sch Elect Engn Tel Aviv Israel
Anomaly detection is a well-established research area that seeks to identify samples outside of a predetermined distribution. An anomaly detection pipeline is comprised of two main stages: (1) feature extraction and (... 详细信息
来源: 评论
Continual Learning with Transformers for Image Classification
Continual Learning with Transformers for Image Classificatio...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ermis, Beyza Zappella, Giovanni Wistuba, Martin Rawal, Aditya Archambeau, Cedric AWS Berlin Germany AWS Santa Clara CA USA
In many real-world scenarios, data to train machine learning models become available over time. However, neural network models struggle to continually learn new concepts without forgetting what has been learnt in the ... 详细信息
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Remote Estimation of Continuous Blood Pressure by a Convolutional Neural Network Trained on Spatial patterns of Facial Pulse Waves
Remote Estimation of Continuous Blood Pressure by a Convolut...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Iuchi, Kaito Miyazaki, Ryogo Cardoso, George C. Ogawa-Ochiai, Keiko Tsumura, Norimichi Chiba Univ Grad Sch Sci & Engn Dept Imaging Sci Chiba Japan Univ Sao Paulo Phys Dept FFCLRP Sao Paulo Brazil Hiroshima Univ Hosp Dept Gen Med Hiroshima Japan
We propose a remote method to estimate continuous blood pressure based on spatial information of a pulse wave at a single point in time. By setting regions of interest to cover a face in a mutually exclusive and colle... 详细信息
来源: 评论
Doppelganger Saliency: Towards More Ethical Person Re-Identification
Doppelganger Saliency: Towards More Ethical Person Re-Identi...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: RichardWebster, Brandon Hu, Brian Fieldhouse, Keith Hoogs, Anthony Kitware Inc 1712 Route 9Suite 300 Clifton Pk NY 12065 USA
Modern surveillance systems have become increasingly dependent on artificial intelligence to provide actionable information for real-time decision making. A critical question relates to how these systems handle diffic... 详细信息
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Exploring Robustness Connection between Artificial and Natural Adversarial Examples
Exploring Robustness Connection between Artificial and Natur...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Agarwal, Akshay Ratha, Nalini Vatsa, Mayank Singh, Richa Buffalo Buffalo NY 14260 USA IIT Jodhpur Jodhpur Rajasthan India
Although recent deep neural network algorithm has shown tremendous success in several computer vision tasks, their vulnerability against minute adversarial perturbations has raised a serious concern. In the early days... 详细信息
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MixAugment & Mixup: Augmentation Methods for Facial Expression recognition
MixAugment & Mixup: Augmentation Methods for Facial Expressi...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Psaroudakis, Andreas Kollias, Dimitrios Natl Tech Univ Athens Athens Greece Queen Mary Univ London London England
Automatic Facial Expression recognition (FER) has attracted increasing attention in the last 20 years since facial expressions play a central role in human communication. Most FER methodologies utilize Deep Neural Net... 详细信息
来源: 评论