Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection

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Learn about Pro-Cap, a new method that enhances hateful meme detection by leveraging frozen Vision-Language Models (PVLMs) in a zero-shot learning approach.
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Pro-Cap introduces a novel approach to hateful meme detection by utilizing frozen Vision-Language Models (PVLMs) through probing-based captioning, enhancing computational efficiency and caption quality for accurate detection of hateful content in memes.