A Reconfigurable Coarse-to-Fine Approach for the Execution of CNN Inference Models in Low-Power Edge Devices
Convolutional neural networks (CNNs) have evolved into essential components for a wide range of embedded applications due to their outstanding efficiency and performance. To efficiently deploy CNN inference models on resource-constrained edge devices, field programmable gate arrays (FPGAs) have beco...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | IET Computers & Digital Techniques |
| Online Access: | http://dx.doi.org/10.1049/cdt2/6214436 |
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