Deep Weakly-Supervised Neural Networks for Cross-Domain Video Recognition and Localization
用于跨域视频识别和定位的深度弱监督神经网络
基本信息
- 批准号:DGDND-2022-05397
- 负责人:
- 金额:$ 2.91万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:DND/NSERC Discovery Grant Supplement
- 财政年份:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
No summary - Aucun sommaire
无摘要- Aucun sommaire
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Granger, Eric其他文献
Partially-supervised learning from facial trajectories for face recognition in video surveillance
- DOI:
10.1016/j.inffus.2014.05.006 - 发表时间:
2015-07-01 - 期刊:
- 影响因子:18.6
- 作者:
De-la-Torre, Miguel;Granger, Eric;Gorodnichy, Dmitry O. - 通讯作者:
Gorodnichy, Dmitry O.
Graphical EM for on-line learning of grammatical probabilities in radar Electronic Support
- DOI:
10.1016/j.asoc.2012.02.022 - 发表时间:
2012-08-01 - 期刊:
- 影响因子:8.7
- 作者:
Latombe, Guillaume;Granger, Eric;Dilkes, Fred A. - 通讯作者:
Dilkes, Fred A.
On the memory complexity of the forward-backward algorithm
- DOI:
10.1016/j.patrec.2009.09.023 - 发表时间:
2010-01-15 - 期刊:
- 影响因子:5.1
- 作者:
Khreich, Wael;Granger, Eric;Sabourin, Robert - 通讯作者:
Sabourin, Robert
A paired sparse representation model for robust face recognition from a single sample
- DOI:
10.1016/j.patcog.2019.107129 - 发表时间:
2020-04-01 - 期刊:
- 影响因子:8
- 作者:
Mokhayeri, Fania;Granger, Eric - 通讯作者:
Granger, Eric
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems
- DOI:
10.1109/tnnls.2018.2869164 - 发表时间:
2019-05-01 - 期刊:
- 影响因子:10.4
- 作者:
Carbonneau, Marc-Andre;Granger, Eric;Gagnon, Ghyslain - 通讯作者:
Gagnon, Ghyslain
Granger, Eric的其他文献
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{{ truncateString('Granger, Eric', 18)}}的其他基金
Deep Weakly-Supervised Neural Networks for Cross-Domain Video Recognition and Localization
用于跨域视频识别和定位的深度弱监督神经网络
- 批准号:
RGPIN-2022-05397 - 财政年份:2022
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
Deep Domain Adaptation and Fusion for Person Recognition in the Wild
用于野外人员识别的深度域适应和融合
- 批准号:
543663-2019 - 财政年份:2021
- 资助金额:
$ 2.91万 - 项目类别:
Collaborative Research and Development Grants
Adaptive Context-Based Systems for Face Recognition in Video Surveillance
视频监控中基于上下文的自适应人脸识别系统
- 批准号:
RGPIN-2016-06783 - 财政年份:2021
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
Deep Domain Adaptation and Fusion for Person Recognition in the Wild
用于野外人员识别的深度域适应和融合
- 批准号:
543663-2019 - 财政年份:2020
- 资助金额:
$ 2.91万 - 项目类别:
Collaborative Research and Development Grants
Adaptive Context-Based Systems for Face Recognition in Video Surveillance
视频监控中基于上下文的自适应人脸识别系统
- 批准号:
RGPIN-2016-06783 - 财政年份:2020
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
Detection of COVID-19 in Intelligent Building Occupancy Management
智能建筑占用管理中的 COVID-19 检测
- 批准号:
555212-2020 - 财政年份:2020
- 资助金额:
$ 2.91万 - 项目类别:
Alliance Grants
Deep Domain Adaptation and Fusion for Person Recognition in the Wild
用于野外人员识别的深度域适应和融合
- 批准号:
543663-2019 - 财政年份:2019
- 资助金额:
$ 2.91万 - 项目类别:
Collaborative Research and Development Grants
Adaptive Context-Based Systems for Face Recognition in Video Surveillance
视频监控中基于上下文的自适应人脸识别系统
- 批准号:
RGPIN-2016-06783 - 财政年份:2019
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
Adaptive Context-Based Systems for Face Recognition in Video Surveillance
视频监控中基于上下文的自适应人脸识别系统
- 批准号:
RGPIN-2016-06783 - 财政年份:2018
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
A Comparison of Siamese Convolutional Neural Networks for Person Re-Identification in Video Surveillance**
视频监控中人员重新识别的连体卷积神经网络的比较**
- 批准号:
533701-2018 - 财政年份:2018
- 资助金额:
$ 2.91万 - 项目类别:
Engage Grants Program
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Algebraic Structures in Weakly Supervised Disentangled Representation Learning
弱监督解缠表示学习中的代数结构
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22KJ0880 - 财政年份:2023
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Foundations of Unsupervised and Weakly Supervised Learning
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RGPIN-2019-06018 - 财政年份:2022
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Collaborative Research: SWIFT-SAT: RFI Detection Across Six Orders of Magnitude in Intensity: A Unifying Framework with Weakly Supervised Machine Learning
合作研究:SWIFT-SAT:强度六个数量级的 RFI 检测:弱监督机器学习的统一框架
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Standard Grant
Collaborative Research: SWIFT-SAT: RFI Detection Across Six Orders of Magnitude in Intensity: A Unifying Framework with Weakly Supervised Machine Learning
合作研究:SWIFT-SAT:强度六个数量级的 RFI 检测:弱监督机器学习的统一框架
- 批准号:
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- 批准号:
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- 资助金额:
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Deep Weakly-Supervised Neural Networks for Cross-Domain Video Recognition and Localization
用于跨域视频识别和定位的深度弱监督神经网络
- 批准号:
RGPIN-2022-05397 - 财政年份:2022
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
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