Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution論文復現及對比結果
一、結論： octave網絡對Resnet這類運算量較大的網絡有較好的增速效果，但是對於mobilenet這類已經對計算量進行過優化的網絡，增速效果不理想甚至會造成減速 二、測試結果： FLOPs(10^9) MACs(Multiply-Accumulation) ops interence time(ms) mobilenetv1 3709200000 185417728 29 68.2
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相關文章
- 1. Paper | Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Con...
- 2. CNN改進：Drop an Octave Reducing Spatial Redundancy in CNN - Octave Convolution論文解析
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