SS-YOLO: An Object Detection Algorithm based on YOLOv3 and ShuffleNet

@article{Li2020SSYOLOAO,
  title={SS-YOLO: An Object Detection Algorithm based on YOLOv3 and ShuffleNet},
  author={Y. Li and Can Lv},
  journal={2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)},
  year={2020},
  volume={1},
  pages={769-772}
}
  • Y. Li, Can Lv
  • Published 2020
  • Computer Science
  • 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
Supported by the improvement in the computing power of devices and increasing amount of data is being produced by digital society, the object detection framework based on deep learning has developed rapidly. Based on R-CNN, SSD, YOLO and other classical frameworks, many excellent object detection frameworks have appeared. YOLOv3 is at the current leading level in various aspects such as detection speed and accuracy. YOLOv3-Tiny can achieve real-time detection on the common GPU, but the accuracy… Expand

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