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- W2809545542 abstract "We propose a framework for automated classification of Advertisement Images, using not just Visual features but also Textual cues extracted from embedded text. Our approach takes inspiration from the assumption that Ad images contain meaningful textual content, that can provide discriminative semantic interpretetion, and can thus aid in classifcation tasks. To this end, we develop a framework using off-the-shelf components, and demonstrate the effectiveness of Textual cues in semantic Classfication tasks." @default.
- W2809545542 created "2018-06-29" @default.
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- W2809545542 date "2018-06-21" @default.
- W2809545542 modified "2023-10-16" @default.
- W2809545542 title "Don't only Feel Read: Using Scene text to understand advertisements." @default.
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