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.
Authors: Rui Cao, Singapore Management University; Ming Shan Hee, Singapore University of Design and Technology; Adriel Kuek, DSO National Laboratories; Wen-Haw Chong, Singapore Management University; Roy Ka-Wei Lee, Singapore University of Design and Technology Jing Jiang, Singapore Management University.
memes, multimodal, semantic extraction ACM Reference Format: Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, and Jing Jiang. 2023. Pro Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection. In Proceedings of the 31st ACM International Conference on Multimedia , October 29-November 3, 2023, Ottawa, ON, Canada. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3581783.
memes, multimodal, semantic extraction ACM Reference Format: Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, and Jing Jiang. 2023. Pro Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection. In Proceedings of the 31st ACM International Conference on Multimedia , October 29-November 3, 2023, Ottawa, ON, Canada. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3581783.
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