SSD7-FFAM: A Real-Time Object Detection Network Friendly to Embedded Devices from Scratch
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DOI: 10.3390/app11031096
Abstract: The high requirements for computing and memory are the biggest challenges in deploying existing object detection networks to embedded devices. Living lightweight object detectors directly use lightweight neural network architectures such as MobileNet or ShuffleNet… read more here.
Keywords: time; ssd7 ffam; object detection; embedded devices ... See more keywords