Unsupervised Object Segmentation On 1
Métriques
ARI-FG
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | ARI-FG | Paper Title | Repository |
|---|---|---|---|
| SlotAttention | 0.79 | GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement | - |
| GENESIS | 0.63 | GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement | - |
| AST | 0.87 | Unsupervised Multi-object Segmentation Using Attention and Soft-argmax | - |
| MONET-G | 0.54 | GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement | - |
| GENESIS-V2 | 0.84 | GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement | - |
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