Algorithm-Hardware Co-Optimization for Energy-Efficient Drone Detection on Resource-Constrained FPGA

2021 International Conference on Field-Programmable Technology (ICFPT)(2021)

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摘要
Convolutional neural network (CNN) based object detection has achieved very high accuracy, e.g. single-shot multi-box detectors (SSD) can efficiently detect and localize various objects in an input image. However, they require a high amount of computation and memory storage, which makes it difficult to perform efficient inference on resource-constrained hardware devices such as drones or unmanned ...
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关键词
Performance evaluation,Quantization (signal),Object detection,Throughput,Hardware,Energy efficiency,Inference algorithms
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