Unverified50% confidenceFactExact time
Taking a layer with a 3×3 convolution kernel and 256 input and output channels as an example, a standard convolution requires approximately 590,000 parameters, while depthwise separable convolution requires only approximately 67,000 parameters, a reduction of roughly 8–9 times.
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50%
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Long-term
Relevance
9/1/2026
First Seen
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