DLW learns a neural network weight function via bilevel optimization to improve variational denoising models on heterogeneous complex noise types with claimed transferability.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 4260--4268
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A Data-driven Loss Weighting Scheme across Heterogeneous Tasks for Image Denoising
DLW learns a neural network weight function via bilevel optimization to improve variational denoising models on heterogeneous complex noise types with claimed transferability.