#计算机科学#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
Dataset and code implementation for the paper "Decoding the Underlying Meaning of Multimodal Hateful Memes" (IJCAI'23).
The Hateful Memes Challenge example code using MMF
[COLING 2025🔥] Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
[ACL, EACL'24] Dataset and PyTorch Code for Multimodal Hate Speech Detection in Bengali
Racist or Sexist Meme? Classifying Memes beyond Hateful
#计算机科学#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