A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

🥶Vilio: State-of-the-art VL models in PyTorch & PaddlePaddle

Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge. https://arxiv.org/abs/2012.12975

The Hateful Memes Challenge example code using MMF

Dataset and code implementation for the paper "Decoding the Underlying Meaning of Multimodal Hateful Memes" (IJCAI'23).

[ACL, EACL'24] Multimodal Hate Speech Detection in Bengali

Racist or Sexist Meme? Classifying Memes beyond Hateful

Submission for Precog Recruitment Task 2: Analyzing Hateful Memes

🃏 Using multiple types of annotation extracted from hateful-memes dataset and feed those data into multi-modal transformers to achieve high accuracy.

Hateful Meme challenge, Knowledge graph based approach