Meme Classification
20 papers with code • 2 benchmarks • 4 datasets
Meme classification refers to the task of classifying internet memes.
Benchmarks
These leaderboards are used to track progress in Meme Classification
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Libraries
Use these libraries to find Meme Classification models and implementations
Hateful Memes
HarMeme
Tamil Memes
Latest papers with no code
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
We propose Visual Program Distillation (VPD), an instruction tuning framework that produces a vision-language model (VLM) capable of solving complex visual tasks with a single forward pass.
Improving hateful memes detection via learning hatefulness-aware embedding space through retrieval-guided contrastive learning
Finally, we demonstrate a retrieval-based hateful memes detection system, which is capable of making hatefulness classification based on data unseen in training from a database.
Prompting for Multimodal Hateful Meme Classification
Specifically, we construct simple prompts and provide a few in-context examples to exploit the implicit knowledge in the pre-trained RoBERTa language model for hateful meme classification.
Multimodal and Explainable Internet Meme Classification
In the current context where online platforms have been effectively weaponized in a variety of geo-political events and social issues, Internet memes make fair content moderation at scale even more difficult.
Multimodal Feature Extraction for Memes Sentiment Classification
In this study, we propose feature extraction for multimodal meme classification using Deep Learning approaches.
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification
The spread of fake news, propaganda, misinformation, disinformation, and harmful content online raised concerns among social media platforms, government agencies, policymakers, and society as a whole.
On Explaining Multimodal Hateful Meme Detection Models
For instance, it is unclear if these models are able to capture the derogatory or slurs references in multimodality (i. e., image and text) of the hateful memes.
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification
We explore several models to detect Troll memes in Tamil based on the shared task, "Troll Meme Classification in DravidianLangTech2022" at ACL-2022.
BLUE at Memotion 2.0 2022: You have my Image, my Text and my Transformer
Memes are prevalent on the internet and continue to grow and evolve alongside our culture.
Disentangling Hate in Online Memes
Our experiment results show that DisMultiHate is able to outperform state-of-the-art unimodal and multimodal baselines in the hateful meme classification task.
