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Hateful meme detection is a new research area recently brought out thatrequires both visual, linguistic understanding of the meme and some backgroundknowledge to performing well on the task. This technical report summarises thefirst place solution of the Hateful Meme Detection Challenge 2020, whichextending state-of-the-art visual-linguistic transformers to tackle thisproblem. At the end of the report, we also point out the shortcomings andpossible directions for improving the current methodology.

Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution