A CNN layout classifier using narrow anisotropic Gaussian masking and reflection-induced augmentations improves performance on a new eight-class complex layout dataset under severe data scarcity.
Neural Comput
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Complex Layout Classification in the Wild: A Low-Resource Approach with Layout-Preserving Augmentations
A CNN layout classifier using narrow anisotropic Gaussian masking and reflection-induced augmentations improves performance on a new eight-class complex layout dataset under severe data scarcity.