MemeCLIP

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Meme ClassificationonPrideMM
Accuracy· 2024-09-23
76.1
best: 78.1 (RA-HMD (Qwen2-VL-7B))
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification arXiv:2409.14703
Meme ClassificationonPrideMM
F1· 2024-09-23
75.1
best: 78.4 (RA-HMD (Qwen2-VL-7B))
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification arXiv:2409.14703