MemeSense leverages CLIP for multimodal meme analysis, integrating vision and language features through cosine similarity to classify humor, hate speech,stance.
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Updated
Dec 9, 2024 - Python
MemeSense leverages CLIP for multimodal meme analysis, integrating vision and language features through cosine similarity to classify humor, hate speech,stance.
Human-centered multimodal sexism detection for EXIST 2026 (CLEF) Task 2: a five-stream FiLM-conditioned cross-attention model that fuses meme text, image, annotator demographics, and biometric signals. Team VANGUARD.
Meme Sommelier: a multimodal ML + VLM workbench for Memotion7K meme humor analysis. Combines text, image, CLIP fusion, Gemini-generated H-layer mechanisms, unsupervised clustering, and a Streamlit agent to explain why memes land or fail.
Undergraduate thesis on multimodal (image and text) meme sentiment analysis using the Memotion dataset, comparing five CNN backbones.
Dataset and code implementation for the paper "TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore" (MMSYS'23).
Vision-only meme humor classification using ResNet18. Published research - NBC 2026, Track: Technology & Innovation.
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