VisualBERT
Related Papers
ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification
AbstractWomen are frequently targeted online with hate speech and misogyny using tweets, memes, and other forms of communication. This paper describes our system for Task 5 of SemEval-2022: Multimedia Automatic …...
JRLV at SemEval-2022 Task 5: The Importance of Visual Elements for Misogyny Identification in Memes
AbstractGender discrimination is a serious and widespread problem on social media and online in general. Besides offensive messages, memes are one of the main means of dissemination for such content. …...
Visio-Linguistic Brain Encoding
AbstractBrain encoding aims at reconstructing fMRI brain activity given a stimulus. There exists a plethora of neural encoding models which study brain encoding for single mode stimuli: visual (pretrained CNNs) …...
YMAI at SemEval-2022 Task 5: Detecting Misogyny in Memes using VisualBERT and MMBT MultiModal Pre-trained Models
AbstractThis paper presents a deep learning system that contends at SemEval-2022 Task 5. The goal is to detect the existence of misogynous memes in sub-task A. At the same time, …...