論文筆記：Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
解決問題：網絡加速 下采樣的方法達到網絡加速，但是下采樣會導致的信息損失而降低網絡性能，WAE既能降低圖像分辨率，又不損失信息，保持分類準確率。WAE藉助小波分解思想，將原圖分解爲兩個低分辨率圖像：一個攜帶高頻信息（圖像細節信息或者噪聲），一個攜帶低頻信息（圖像全局主要信息） 網絡框架 Encoding layer 輸入圖片通過編碼層（分解層）得到IH（高頻圖）和Il（低頻圖） 具體過程： 輸入圖
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相關文章
- 1. 模型加速：WAE-Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
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