Referring Expression Generation On Coloninst
Métriques
Accuray
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuray |
|---|---|
| improved-baselines-with-visual-instruction | 99.32 |
| mini-gemini-mining-the-potential-of-multi | 98.75 |
| efficient-multimodal-learning-from-data | 96.02 |
| mobilevlm-a-fast-reproducible-and-strong | 97.78 |
| improved-baselines-with-visual-instruction | 98.58 |
| mobilevlm-a-fast-reproducible-and-strong | 97.87 |
| visual-instruction-tuning-1 | 84.55 |
| llava-med-training-a-large-language-and | 90.4 |
| frontiers-in-intelligent-colonoscopy | 99.96 |
| minigpt-v2-large-language-model-as-a-unified | 94.69 |
| llava-med-training-a-large-language-and | 97.35 |
| minigpt-v2-large-language-model-as-a-unified | 87.65 |
| llava-med-training-a-large-language-and | 99.3 |
| efficient-multimodal-learning-from-data | 96.61 |
| llava-med-training-a-large-language-and | 97.74 |
| mini-gemini-mining-the-potential-of-multi | 98.17 |
| visual-instruction-tuning-1 | 86.87 |