Papers
112 papers found
DD-TIG at SemEval-2022 Task 5: Investigating the Relationships Between Multimodal and Unimodal Information in Misogynous Memes Detection and Classification
Ziming Zhou, Han Zhao, Jingjing Dong et al.
ASOS at ArAIEval Shared Task: Integrating Text and Image Embeddings for Multimodal Propaganda Detection in Arabic Memes
Yasser Alhabashi, Abdullah Alharbi, Samar Ahmad et al.
InnovationEngineers@DravidianLangTech 2025: Enhanced CNN Models for Detecting Misogyny in Tamil Memes Using Image and Text Classification
Kogilavani Shanmugavadivel, Malliga Subramanian, Pooja Sree M et al.
NLP-CUET@DravidianLangTech-EACL2021: Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque
Infotec + CentroGEO at SemEval-2020 Task 8: Deep Learning and Text Categorization approach for Memes classification
Guillermo Ruiz, Eric S. Tellez, Daniela Moctezuma et al.
Infotec + CentroGEO at SemEval-2020 Task 8: Deep Learning and Text Categorization approach for Memes classification
Guillermo Ruiz, Eric S. Tellez, Daniela Moctezuma et al.
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: A Case Study on Hateful Memes
Yosuke Miyanishi, Minh Le Nguyen
All-in-One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on Memes
Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal et al.