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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23228 条 记 录,以下是4661-4670 订阅
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ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
ViP-DeepLab: Learning Visual Perception with Depth-aware Vid...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Qiao, Siyuan Zhu, Yukun Adam, Hartwig Yuille, Alan Chen, Liang-Chieh Johns Hopkins Univ Baltimore MD 21218 USA Google Res Mountain View CA USA
In this paper, we present ViP-DeepLab, a unified model attempting to tackle the long-standing and challenging inverse projection problem in vision, which we model as restoring the point clouds from perspective image s... 详细信息
来源: 评论
Deep Learning-Based Women Hairstyle Classification Through Inception Resnet-101
Deep Learning-Based Women Hairstyle Classification Through I...
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2023 International conference on Energy, Materials and Communication Engineering, ICEMCE 2023
作者: Farook, Faazelah Mohamed Mohamed Mansoor Roomi, S. Sasithra Devi, A. Jayanthi Rajee, R.B. Thiagarajar College of Engineering Department of Electronics and Communication Engineering Tamil-Nadu Madurai India
Artificial intelligence and computer science's computer vision field is revolutionizing a number of industries, including healthcare, automotive, agriculture, security, and entertainment, by enabling robots to ass... 详细信息
来源: 评论
LGFN: Lightweight Light Field Image Super-Resolution using Local Convolution Modulation and Global Attention Feature Extraction
LGFN: Lightweight Light Field Image Super-Resolution using L...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Zhongxin Yu Liang Chen Zhiyun Zeng Kunping Yang Shaofei Luo Shaorui Chen Cheng Zhong Fujian Normal University
Capturing different intensity and directions of light rays at the same scene, Light field (LF) can encode the 3D scene cues into a 4D LF image, which has a wide range of applications (i.e., post-capture refocusing and... 详细信息
来源: 评论
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach
Unsupervised Learning for Robust Fitting: A Reinforcement Le...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Truong, Giang Le, Huu Suter, David Zhang, Erchuan Gilani, Syed Zulqarnain Edith Cowan Univ Sch Sci Churchlands WA Australia Chalmers Univ Technol Dept Elect Engn Gothenburg Sweden
Robust model fitting is a core algorithm in a large number of computer vision applications. Solving this problem efficiently for datasets highly contaminated with outliers is, however, still challenging due to the und... 详细信息
来源: 评论
Hyperdimensional computing as a framework for systematic aggregation of image descriptors
Hyperdimensional computing as a framework for systematic agg...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Neubert, Peer Schubert, Stefan Tech Univ Chemnitz Chemnitz Germany
Image and video descriptors are an omnipresent tool in computer vision and its application fields like mobile robotics. Many hand-crafted and in particular learned image descriptors are numerical vectors with a potent... 详细信息
来源: 评论
Architectural Adversarial Robustness: The Case for Deep Pursuit
Architectural Adversarial Robustness: The Case for Deep Purs...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cazenavette, George Murdock, Calvin Lucey, Simon Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Adelaide Adelaide SA Australia
Despite their unmatched performance, deep neural networks remain susceptible to targeted attacks by nearly imperceptible levels of adversarial noise. While the underlying cause of this sensitivity is not well understo... 详细信息
来源: 评论
EfficientNet-SAM: A Novel EffecientNet with Spatial Attention Mechanism for COVID-19 Detection in Pulmonary CT Scans
EfficientNet-SAM: A Novel EffecientNet with Spatial Attentio...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Ramy Farag Parth Upadhay Jacket Demby’s Yixiang Gao Katherin Garces Montoya Seyed Mohamad Ali Tousi Gbenga Omotara Guilherme DeSouza Department of Electrical Engineering and Computer Science Vision-Guided and Intelligent Robotics Lab - ViGIR Lab University of Missouri-Columbia
Manual analysis and diagnosis of COVID-19 through the examination of Computed Tomography (CT) images of the lungs can be time-consuming and result in errors, especially given high volume of patients and numerous image... 详细信息
来源: 评论
Learning a Facial Expression Embedding Disentangled from Identity
Learning a Facial Expression Embedding Disentangled from Ide...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Wei Ji, Xianpeng Chen, Keyu Ding, Yu Fan, Changjie Netease Fuxi AI Lab Virtual Human Grp Beijing Peoples R China Univ Sci & Technol China Langfang Peoples R China
The facial expression analysis requires a compact and identity-ignored expression representation. In this paper, we model the expression as the deviation from the identity by a subtraction operation, extracting a cont... 详细信息
来源: 评论
Ctransnet: A Modern Deep Learning Model to Estimate Tropical Cyclone Intensity  4
Ctransnet: A Modern Deep Learning Model to Estimate Tropical...
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4th ieee International conference on pattern recognition and Machine Learning, PRML 2023
作者: Shan, Xingchen Li, Jiagen Ren, Kaijun University of National Defense Technology College of Computer Science ChangSha China University of National Defense Technology College of Meteorology and Oceanography ChangSha China
Tropical cyclone (TC) intensity estimation is a crucial factor in disaster protection. Fast and accurate intensity estimation can provide data support for TC forecasts. With the popularization and development of deep ... 详细信息
来源: 评论
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
Towards Robust Classification Model by Counterfactual and In...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chang, Chun-Hao Adam, George Alexandru Goldenberg, Anna Univ Toronto Hosp Sick Children Vector Inst Toronto ON Canada
Despite the success of machine learning applications in science, industry, and society in general, many approaches are known to be non-robust, often relying on spurious correlations to make predictions. Spuriousness o... 详细信息
来源: 评论