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MemeTAG: Keyword-Driven Meme Classification through Tag Embedding Reconstruction
Author1, Author2, Author3, Author4, Author5
multimodalkeyword-drivensemantic embedding
2609.20962
Builder Relevance
1h ago80%
Abstract
MemeTAG introduces a keyword-aware framework for automated classification of harmful internet memes, leveraging a dual-objective approach to enhance semantic understanding.
Reality Card
Core Claim
MemeTAG establishes a new state-of-the-art in meme classification by effectively aligning visual and textual features through a novel semantic embedding and reconstruction loss.
Method / Result
Achieved state-of-the-art performance on HarMeme, Hateful Memes Challenge (HMC), and PrideMM datasets.
Limitations
The reliance on pretrained models may limit reproducibility across different meme datasets.
Paper to code
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