RGCL (CLIP)

Reported on 2 benchmarks across 1 task · 1 paper · 1 SOTA

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
ROC-AUC· 2023-11-14
0.87
best: 0.911 (RA-HMD (Qwen2-VL-7B))
SOTA
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110
Meme ClassificationonHateful Memes
Accuracy· 2023-11-14
0.788
best: 0.847 (Human)
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110