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Psychophysical vs. learnt texture representations in novelty detection
Based on a dig- ital print inspection scenario we show that psychophysical texture representations are able to outperform CNN-encoded features.
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis
In this work we propose the use of convolutional neural networks (CNN) for image inpainting of large regions in high-resolution textures.
Adaptive mixed norm optical flow estimation
It relies on the use of a data-driven technique called Mixed Norm (MN) to estimate the best motion vector for a given pixel.
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