• Corpus ID: 237091320

Pixel Difference Networks for Efficient Edge Detection

@article{Su2021PixelDN,
  title={Pixel Difference Networks for Efficient Edge Detection},
  author={Z. Su and Wenzhe Liu and Zitong Yu and Dewen Hu and Qing Liao and Qi Tian and Matti Pietik{\"a}inen and Li Liu},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.07009}
}
  • Z. Su, Wenzhe Liu, +5 authors Li Liu
  • Published 16 August 2021
  • Computer Science
  • ArXiv
Recently, deep Convolutional Neural Networks (CNNs) can achieve human-level performance in edge detection with the rich and abstract edge representation capacities. However, the high performance of CNN based edge detection is achieved with a large pretrained CNN backbone, which is memory and energy consuming. In addition, it is surprising that the previous wisdom from the traditional edge detectors, such as Canny, Sobel, and LBP are rarely investigated in the rapid-developing deep learning era… 
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