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

This story was originally published on HackerNoon at: https://hackernoon.com/pro-cap-leveraging-a-frozen-vision-language-model-for-hateful-meme-detection.

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.