A dedicated hardware accelerator for real-time acceleration of YOLOv2
In recent years, dedicated hardware accelerators for the acceleration of the convolutional neural network (CNN) have been extensively studied. Although many studies have presented efficient designs on FPGAs for image classification neural network models such as AlexNet and VGG, there are still littl...
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Veröffentlicht in: | Journal of real-time image processing 2021-06, Vol.18 (3), p.481-492 |
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Format: | Artikel |
Sprache: | eng |
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