Meme Classification
24 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
Most implemented papers
Learning Transferable Visual Models From Natural Language Supervision
openai/CLIP
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State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories.
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
facebookresearch/mmf
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NeurIPS 2020
This work proposes a new challenge set for multimodal classification, focusing on detecting hate speech in multimodal memes.
Flamingo: a Visual Language Model for Few-Shot Learning
mlfoundations/open_flamingo
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DeepMind 2022
Building models that can be rapidly adapted to novel tasks using only a handful of annotated examples is an open challenge for multimodal machine learning research.
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection
Specifically, we prompt a frozen PVLM by asking hateful content-related questions and use the answers as image captions (which we call Pro-Cap), so that the captions contain information critical for hateful content detection.
Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text
Since there was no publicly available dataset for multimodal offensive meme content detection, we leveraged the memes related to the 2016 U. S. presidential election and created the MultiOFF multimodal meme dataset for offensive content detection dataset.
KAFK at SemEval-2020 Task 8: Extracting Features from Pre-trained Neural Networks to Classify Internet Memes
cozek/memotion2020-code
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SEMEVAL 2020
This paper presents two approaches for the internet meme classification challenge of SemEval-2020 Task 8 by Team KAFK (cosec).
Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes
This work presents Vilio, an implementation of state-of-the-art visio-linguistic models and their application to the Hateful Memes Dataset.
Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution
himario/hatefulmemeschallenge
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Hateful meme detection is a new research area recently brought out that requires both visual, linguistic understanding of the meme and some background knowledge to performing well on the task.
Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge
Memes on the Internet are often harmless and sometimes amusing.
IIITK@DravidianLangTech-EACL2021: Offensive Language Identification and Meme Classification in Tamil, Malayalam and Kannada
nikhil6041/OLI-and-Meme-Classification
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This paper describes the IIITK team’s submissions to the offensive language identification, and troll memes classification shared tasks for Dravidian languages at DravidianLangTech 2021 workshop@EACL 2021.
