Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge. https://arxiv.org/abs/2012.12975
-
Updated
Feb 12, 2024 - Jupyter Notebook
Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge. https://arxiv.org/abs/2012.12975
Repository containing code from team Kingsterdam for the Hateful Memes Challenge
Multimodal (Visuals & Language) hateful memes detection: on Hateful memes challenge dataset
Hateful Memes dataset contains real hate speech. The Real Hateful Memes dataset consists of more than 10,000 newly created examples by Facebook AI.
Hateful Meme challenge, Knowledge graph based approach
Paraphrased text for hateful memes dataset
Analyzing Hateful Memes/ (Resources:- Hateful Memes Challenge)
Performance calculation tool for Hateful Memes Challenge
Image captioning with Visual Attention
Add a description, image, and links to the hateful-memes-challenge topic page so that developers can more easily learn about it.
To associate your repository with the hateful-memes-challenge topic, visit your repo's landing page and select "manage topics."