A gated hierarchical image-enhancement network trained with quantization-aware training maintains high visual fidelity after low-precision conversion while keeping low computational cost on mobile devices.
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Bridging the Training-Deployment Gap: Gated Encoding and Multi-Scale Refinement for Efficient Quantization-Aware Image Enhancement
A gated hierarchical image-enhancement network trained with quantization-aware training maintains high visual fidelity after low-precision conversion while keeping low computational cost on mobile devices.