HateDetectron27

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· uses extra data· 2020-12-23
0.765
best: 0.847 (Human)
Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge arXiv:2012.12975
Meme ClassificationonHateful Memes
ROC-AUC· uses extra data· 2020-12-23
0.811
best: 0.911 (RA-HMD (Qwen2-VL-7B))
Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge arXiv:2012.12975