Deep Adaptive Wavelet Network.pdf
DeepAdaptiveWaveletNetwork尽管卷积神经网络已成为许多计算机视觉领域的选择方法，但它们仍然缺乏可解释性，并且通常是在繁琐的试错过程中手动设计的。本文旨在通过提出一种深度神经网络来克服这些限制，该系统以系统的方式设计并且可以解释，其方法是将多分辨率分析集成到深度神经网络设计的核心。通过使用提升方案，可以生成小波表示并设计能够以端到端形式学习小波系数的网络。与最新架构相比，该模型所需的超参数调整更少，并在图像分类任务中获得了竞争优势。
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