Papers/2609.20962
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MemeTAG: Keyword-Driven Meme Classification through Tag Embedding Reconstruction

Author1, Author2, Author3, Author4, Author5

multimodalkeyword-drivensemantic embedding
2609.20962
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1h ago

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.

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