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Start Over Search Limiters Academic (Peer-Reviewed) Journals Topic problem solving Topic 卷积神经网络 Language chinese Publisher journal of beijing university of technology, editorial department
4 results

1. 基于多模双线性池化和时间池化聚合的无参考 VMAF 视频质量评价模型.

Author

卓 力, 杨 硕, 张 菁, and 李嘉锋

Subjects
CONVOLUTIONAL neural networks, VIDEO coding, PREDICTION models, PROBLEM solving, VIDEOS
Abstract

Copyright of Journal of Beijing University of Technology is the property of Journal of Beijing University of Technology, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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2. 基于数据深度增强的路面病害智能检测方法 研究及比较.

Author

侯 越, 张慧婷, 高智伟, 王大为, 刘鹏飞, Markus OESER, Linbing WANG, and 陈 宁

Subjects
DATA augmentation, POTHOLES (Roads), HIGHWAY engineering, CONVOLUTIONAL neural networks, TRACKING radar, PROBLEM solving
Abstract

Copyright of Journal of Beijing University of Technology is the property of Journal of Beijing University of Technology, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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3. 基于粘连符号分割和多特征融合的手写公式识别.

Author

付鹏斌, 李建君, and 杨惠荣

Subjects
CONVOLUTIONAL neural networks, PROBLEM solving, MATHEMATICAL formulas, MATHEMATICAL notation, PATTERN recognition systems
Abstract

Copyright of Journal of Beijing University of Technology is the property of Journal of Beijing University of Technology, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021
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4. 行人再识别中的多尺度特征融合网络.

Author

贾熹滨, 鲁臣, Siluyele Ntazana, and Mazimba Windi

Subjects
CONVOLUTIONAL neural networks, PEDESTRIANS, PEOPLE of color, THIRD parties (Law), PROBLEM solving
Abstract

Copyright of Journal of Beijing University of Technology is the property of Journal of Beijing University of Technology, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2020
Full Text
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