FPGA Implementation of Yolo CNN for Object Detection Block Diagram

A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN ...

Convolutional neural networks (CNNs) require numerous computations and external memory accesses. Frequent accesses to off-chip memory cause slow processing and large power dissipation. For real-time ...

GitHub1y

The-advanced-work-of-Object-detection-based-on-FPGAs/REQ-YOLO A ...

To overcome these limitations, this paper proposes REQ-YOLO, a resource aware, systematic weight quantization framework for object detection, considering both algorithm and hardware resource aspects ...

IEEE2y

A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN ...

Convolutional neural networks (CNNs) require numerous computations and external memory accesses. Frequent accesses to off-chip memory cause slow processing and large power dissipation. For real-time ...

GitHub1y

A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN ...

Convolutional neural networks (CNNs) require numerous computations and external memory accesses. Frequent accesses to off-chip memory cause slow processing and large power dissipation. For real-time ...

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