SOTAVerified

Meme Classification

Meme classification refers to the task of classifying internet memes.

Papers

Showing 125 of 59 papers

TitleStatusHype
Detecting Harmful Memes with Decoupled Understanding and Guided CoT ReasoningCode0
LLM-based Semantic Augmentation for Harmful Content Detection0
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme DetectionCode1
Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions0
Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme ClassificationCode0
Prompt-enhanced Network for Hateful Meme ClassificationCode0
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme ClassificationCode1
What Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset Creation0
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in MemesCode0
MATK: The Meme Analytical Tool KitCode1
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models0
Improving Hateful Meme Detection through Retrieval-Guided Contrastive LearningCode1
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme ClassificationCode0
Mapping Memes to Words for Multimodal Hateful Meme ClassificationCode1
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme DetectionCode1
MemeGraphs: Linking Memes to Knowledge GraphsCode0
Decoding the Underlying Meaning of Multimodal Hateful MemesCode1
MemeFier: Dual-stage Modality Fusion for Image Meme ClassificationCode0
Prompting for Multimodal Hateful Meme Classification0
Multimodal and Explainable Internet Meme Classification0
Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP FeaturesCode1
MUTE: A Multimodal Dataset for Detecting Hateful MemesCode0
Multimodal Feature Extraction for Memes Sentiment Classification0
ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification0
AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny IdentificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RA-HMD (Qwen2-VL-7B)ROC-AUC0.91Unverified
2RA-HMD (LLaVA-1.5-7B)ROC-AUC0.9Unverified
3PaLI-X-VPDROC-AUC0.89Unverified
4RA-HMD (Qwen2-VL-2B)ROC-AUC0.88Unverified
5RGCL (CLIP)ROC-AUC0.87Unverified
6Flamingo (fine-tuned)ROC-AUC0.87Unverified
7Hate-CLIPper - AlignROC-AUC0.86Unverified
8ISSUESROC-AUC0.86Unverified
9Ron ZhuROC-AUC0.85Unverified
10HumanROC-AUC0.83Unverified
#ModelMetricClaimedVerifiedStatus
1RA-HMD (Qwen2-VL-7B)Accuracy71.1Unverified
2RGCLAccuracy67.1Unverified
3HateCLIPperAccuracy62.4Unverified
4CLIPAccuracy62.4Unverified
5MultiOFFF150Unverified
#ModelMetricClaimedVerifiedStatus
1Hate-CLIPperMicro-F10.59Unverified
2UVCE-IIITTMicro-F10.47Unverified