Transformers at SemEval-2022 Task 5: A Feature Extraction based Approach for Misogynous Meme Detection

Abstract

Social media is an idea created to make the world smaller and more connected. Recently, it has become a hub of fake news and sexist memes that target women. Social Media should ensure proper women's safety and equality. Filtering such information from social media is of paramount importance to achieving this goal. In this paper, we describe the system developed by our team for SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification. We propose a multimodal training methodology that achieves good performance on both the sub-tasks, ranking 4th for Subtask A (0.718 macro F1-score) and 9th for Subtask B (0.695 macro F1-score) while exceeding the baseline results by good margins. The code will be available here.