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Found 2 papers, 1 papers with code
Learning Semantic Abstraction of Shape via 3D Region of Interest
This is in contrast to current methods, which focus solely on either 3D shape abstraction or semantic analysis.
Region Normalization for Image Inpainting
Most previous image inpainting methods apply FN in their networks without considering the impact of the corrupted regions of the input image on normalization, e. g. mean and variance shifts.
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