Real-word image super-distillation method and system
The invention provides a real-word image super-resolution distillation method and system, and the method comprises the steps: S1, constructing a teacher super-resolution network, and pre-training a teacher model; s2, calculating distillation loss based on a teacher model and a student model; and S3,...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention provides a real-word image super-resolution distillation method and system, and the method comprises the steps: S1, constructing a teacher super-resolution network, and pre-training a teacher model; s2, calculating distillation loss based on a teacher model and a student model; and S3, the teacher model supervises the student model in the super distillation based on the distillation loss. The teacher model captures a teacher feature map based on a backbone network, so that the student model can learn features; and the up-sampling module performs image reconstruction by using the feature map output by the backbone network, and is used for evaluating the super-resolution reconstruction capability of the teacher model. The student model extracts image features based on a backbone network and is used for performing feature distillation with teacher features after noise reduction processing; the feature denoising module is used for realizing student feature denoising, and the influence on the feature |
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