Papers with Code 아카이브
Meme Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 3
- 보존된 평가 기록
- 24
Meme classification refers to the task of classifying internet memes.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LLM-based Semantic Augmentation for Harmful Content Detection
Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions
Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification
Prompt-enhanced Network for Hateful Meme Classification
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
What Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset Creation
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
MATK: The Meme Analytical Tool Kit
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification
Mapping Memes to Words for Multimodal Hateful Meme Classification
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection
Decoding the Underlying Meaning of Multimodal Hateful Memes
MemeGraphs: Linking Memes to Knowledge Graphs
MemeFier: Dual-stage Modality Fusion for Image Meme Classification
Prompting for Multimodal Hateful Meme Classification
Multimodal and Explainable Internet Meme Classification
Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
Multimodal Feature Extraction for Memes Sentiment Classification
0/1 Deep Neural Networks via Block Coordinate Descent
Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification
Flamingo: a Visual Language Model for Few-Shot Learning
On Explaining Multimodal Hateful Meme Detection Models
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
BLUE at Memotion 2.0 2022: You have my Image, my Text and my Transformer
Detecting Harmful Memes and Their Targets
Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification
Disentangling Hate in Online Memes
UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.