Zero Shot Object Detection On Ms Coco
Métriques
Recall
mAP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Recall | mAP |
|---|---|---|
| from-node-to-graph-joint-reasoning-on-visual | 62.70 | 14.90 |
| seeds-semantic-separable-diffusion | 64 | 20.6 |
| background-learnable-cascade-for-zero-shot | 54.68 | 14.70 |
| robust-region-feature-synthesizer-for-zero | 62.3 | 19.8 |
| semantics-guided-contrastive-network-for-zero | 59.50 | 18.60 |
| synthesizing-the-unseen-for-zero-shot-object | 61.40 | 17.30 |
| polarity-loss-for-zero-shot-object-detection | 43.56 | 12.62 |
| resolving-semantic-confusions-for-improved-1 | 65.10 | 20.10 |