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downsampled-noisy-signals

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SCRNet is a deep neural network architecture designed to handle compressed and noisy character images signals. Tailored for tasks like character recognition and image signal restoration, SCRNet integrates classification and reconstruction pathways, enhancing performance and robustness through their synergistic interaction

  • Updated Sep 26, 2024
  • Jupyter Notebook

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