Abstract: This paper proposes a novel global path smoothing approach based on policy gradient parameter optimization. Firstly, an algorithm is introduced to sample path points suitable for computer ...
Abstract: The efficacy and reliability of segmentation models heavily rely on the activation functions employed within deep learning architectures. However, a persistent challenge lies in the ...
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