Multi Label Classification On Nus Wide
Métriques
MAP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | MAP |
|---|---|
| query2label-a-simple-transformer-way-to-multi | 66.3 |
| learning-spatial-regularization-with-image | 62.0 |
| cross-modality-attention-with-semantic-graph | 61.4 |
| multi-label-image-classification-via | 60.1 |
| multi-layered-semantic-representation-network | 61.5 |
| query2label-a-simple-transformer-way-to-multi | 70.1 |
| asymmetric-loss-for-multi-label | 65.2 |
| query2label-a-simple-transformer-way-to-multi | 65.0 |
| combining-metric-learning-and-attention-heads | 68.30 |