Unsupervised Object Segmentation On
Metrics
ARI-FG
Results
Performance results of various models on this benchmark
Model Name | ARI-FG | Paper Title | Repository |
|---|---|---|---|
| MONET-G | 0.70 | GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement | - |
| GENESIS-V2 | 0.81 | GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement | - |
| AST | 0.82 | Unsupervised Multi-object Segmentation Using Attention and Soft-argmax | - |
| SlotAttention | 0.76 | GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement | - |
| GENESIS | 0.70 | GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement | - |
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