Faster-YOLO: An accurate and faster object detection method

@article{Yin2020FasterYOLOAA,
  title={Faster-YOLO: An accurate and faster object detection method},
  author={Yunhua Yin and Hui-Fang Li and Wei Fu},
  journal={Digit. Signal Process.},
  year={2020},
  volume={102},
  pages={102756}
}
Abstract In the computer vision, object detection has always been considered one of the most challenging issues because it requires classifying and locating objects in the same scene. Many object detection approaches were recently proposed based on deep convolutional neural networks (DCNNs), which have been demonstrated to achieve outstanding object detection performance compared to other approaches. However, the supervised training of DCNNs mostly uses gradient-based optimization criteria, in… Expand
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