PCA compression of the redundancy weight layer reduces trainable parameters by 97.25% in a differentiable shift-variant FBP model with similar reconstruction quality on simulated sinusoidal-trajectory CBCT.
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Compressibility Analysis for the differentiable shift-variant Filtered Backprojection Model
PCA compression of the redundancy weight layer reduces trainable parameters by 97.25% in a differentiable shift-variant FBP model with similar reconstruction quality on simulated sinusoidal-trajectory CBCT.