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Olarewaju Mubashiru Lawal1, Shengyan Zhu1, Kui Cheng1

  • 1Sanjiang Institute of Artificial Intelligence & Robotics, Yibin University, Yibin, Sichuan, China.

PloS one
|October 9, 2023
PubMed
概括

一个新的简化网络拓大大降低了参数,并提高了水果检测,跟踪和计数的速度. 这种强大而准确的模型非常适合移动部署,克服了以前的挑战.