Research on acceleration and optimization of image recognition based on FPGA
Currently, Convolutional Neural Network (CNN) has been widely applied in key fields such as autonomous driving, security monitoring, and medical image diagnosis due to its powerful feature extraction ability. However, the large parameter volume and complex computational process of CNN models pose se...
| Опубликовано в: : | Инноватика-2025 : сборник материалов XXI Международной школы-конференции студентов, аспирантов и молодых ученых, 28-30 апреля 2025 г., г. Томск, Россия С. 242-250 |
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| Главный автор: | |
| Формат: | Статья в сборнике |
| Язык: | English |
| Предметы: | |
| Online-ссылка: | https://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001272902 Перейти в каталог НБ ТГУ |
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| 100 | 1 | |a Xu, Yuting |9 1013495 | |
| 245 | 1 | 0 | |a Research on acceleration and optimization of image recognition based on FPGA |c Y. Xu |
| 336 | |a Текст | ||
| 337 | |a электронный | ||
| 504 | |a Библиогр.: 3 назв. | ||
| 520 | 3 | |a Currently, Convolutional Neural Network (CNN) has been widely applied in key fields such as autonomous driving, security monitoring, and medical image diagnosis due to its powerful feature extraction ability. However, the large parameter volume and complex computational process of CNN models pose severe challenges in their practical deployment. Although GPUs are often used to accelerate CNN computations, their high-power consumption, high cost, and insufficient flexibility make them unable to meet the low power consumption and real-time requirements of edge devices. Based on this, this paper delves into the acceleration and optimization technologies of CNN image recognition based on FPGA, relying on the Vivado development tool provided by Xilinx FPGA platform. | |
| 653 | |a распознавание изображений | ||
| 653 | |a сверточные нейронные сети | ||
| 655 | 4 | |a статьи в сборниках | |
| 773 | 0 | |t Инноватика-2025 : сборник материалов XXI Международной школы-конференции студентов, аспирантов и молодых ученых, 28-30 апреля 2025 г., г. Томск, Россия |d Томск, 2025 |g С. 242-250 |z 9785936297311 |w koha001268951 | |
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| 856 | 4 | |u https://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001272902 | |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1272902 | ||
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