PAMS: Quantized Super-Resolution via Parameterized Max Scale

european conference on computer vision, pp. 564-580, 2020.

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Abstract:

Deep convolutional neural networks (DCNNs) have shown dominant performance in the task of super-resolution (SR). However, their heavy memory cost and computation overhead significantly restrict their practical deployments on resource-limited devices, which mainly arise from the floating-point storage and operations between weights and a...More

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