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Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning
The results obtained demonstrated that trained neural networks such as CLIP can be successfully applied to image classification with little fine-tuning, and considering the associated texts to the images can help to improve the accuracy depending on the goal.
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