Weakly Supervised Object Detection On 1
Métriques
MAP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | MAP |
|---|---|
| cross-domain-weakly-supervised-object | 59.1 |
| multiple-instance-learning-on-deep-features | 49.5 |
| text-image-alignment-for-diffusion-based | 72.2 |
| weakly-supervised-object-detection-in | 50.1 |
| informative-and-consistent-correspondence | 57.4 |
| adaptive-object-detection-with-dual-multi | 56.0 |
| domain-adaptive-self-supervised-pre-training | 71.53 |
| cross-domain-weakly-supervised-object | 54.3 |
| h2fa-r-cnn-holistic-and-hierarchical-feature | 59.9 |
| h2fa-r-cnn-holistic-and-hierarchical-feature | 62.6 |
| weakly-supervised-deep-detection-networks | 12.7 |
| domain-adaptive-object-detection-via-1 | 55.5 |