Unsupervised Semantic Segmentation On Potsdam 1
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| leveraging-hidden-positives-for-unsupervised | 82.4 |
| boosting-unsupervised-semantic-segmentation | 83.3 |
| infoseg-unsupervised-semantic-image | - |
| unsupervised-semantic-segmentation-by-2 | 77.0 |
| boosting-unsupervised-semantic-segmentation | 80.5 |
| eagle-eigen-aggregation-learning-for-object | 83.3 |
| expand-and-quantize-unsupervised-semantic | 82.0 |
| invariant-information-distillation-for | 45.4 |