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Energy-Efficient Image Super-Resolution by hxno1hx is a document available to read on EtoBox.

The paper presents AdderSR, a novel approach to single image super-resolution (SISR) using adder neural networks (AdderNets) to reduce energy consumption compared to traditional convolutional neural networks. By incorporating shortcuts and a learnable power activation, AdderSR models achieve comparable performance to CNNs while significantly lowering energy usage, making them suitable for mobile devices. Experiments demonstrate that AdderSR can reduce energy consumption by over 50% while maintaining high vi

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hxno1hx

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EN