Pro-Cap

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 ClassificationonHateful Memes
Accuracy· 2023-08-16
0.723
best: 0.847 (Human)
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection arXiv:2308.08088
Meme ClassificationonHateful Memes
ROC-AUC· 2023-08-16
0.809
best: 0.911 (RA-HMD (Qwen2-VL-7B))
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection arXiv:2308.08088