Semi Supervised Video Object Segmentation On 15
Metriken
EAO
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | EAO |
|---|---|
| exploring-enhanced-contextual-information-for-1 | 0.624 |
| decoupling-features-in-hierarchical | 0.622 |
| associating-objects-with-transformers-for | 0.586 |
| decoupling-features-in-hierarchical | 0.613 |
| decoupling-features-in-hierarchical | 0.571 |
| odtrack-online-dense-temporal-token-learning | 0.581 |
| decoupling-features-in-hierarchical | 0.591 |
| associating-objects-with-transformers-for | 0.512 |
| rpt-learning-point-set-representation-for | 0.530 |
| a-distractor-aware-memory-for-visual-object | 0.729 |
| odtrack-online-dense-temporal-token-learning | 0.605 |
| associating-objects-with-transformers-for | 0.541 |
| decoupling-features-in-hierarchical | 0.472 |
| decoupling-features-in-hierarchical | 0.593 |
| alpha-refine-boosting-tracking-performance-by-1 | 0.482 |
| associating-objects-with-transformers-for | 0.574 |
| exploring-enhanced-contextual-information-for-1 | 0.619 |
| associating-objects-with-transformers-for | 0.569 |
| associating-objects-with-transformers-for | 0.435 |
| mixformer-end-to-end-tracking-with-iterative-1 | 0.555 |