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A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
š„¶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
:black_joker: Using multiple types of annotation extracted from hateful-memes dataset and feed those data into multi-modal transformers to achieve high accuracy.
Submission for Precog Recruitment Task 2: Analyzing Hateful Memes