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Found 3 papers, 1 papers with code
Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics
Second, the natural co-occurrence of audio and video is utilized to learn the color semantic correlations between audio and visual scenes.
Engineering Deep Representations for Modeling Aesthetic Perception
To remedy these problems, we develop a deep architecture to learn aesthetically-relevant visual attributes from Flickr1, which are localized by multiple textual attributes in a weakly-supervised setting.
Estimation of genomic characteristics by analyzing k-mer frequency in de novo genome projects
Therefore, it is necessary to develop efficient assembly-independent methods for accurate estimation of these genomic characteristics.
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