Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework

1 code implementation • SemEval (NAACL) 2022 • Ahmed Mahran, Carlo Alessandro Borella, Konstantinos Perifanos

In this paper we describe our work towards building a generic framework for both multi-modal embedding and multi-label binary classification tasks, while participating in task 5 (Multimedia Automatic Misogyny Identification) of SemEval 2022 competition.

Binary Classification Meme Classification +1