HateCLIPper
Reported on 4 benchmarks across 1 task · 1 paper · 3 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing4 results
- F1· 2022-10-12SOTA54.8best: 64.8 (RA-HMD (Qwen2-VL-7B))
- Accuracy· 2022-10-12SOTA75.5best: 78.1 (RA-HMD (Qwen2-VL-7B))
- F1· 2022-10-12SOTA74.1best: 78.4 (RA-HMD (Qwen2-VL-7B))
- Accuracy· 2022-10-1262.4best: 71.1 (RA-HMD (Qwen2-VL-7B))