Semi Supervised Semantic Segmentation On 5
Metriken
Validation mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Validation mIoU |
|---|---|
| consistency-regularization-and-cutmix-for | 66.48% |
| bootstrapping-semantic-segmentation-with | 68.85% |
| adversarial-learning-for-semi-supervised | 59.1% |
| semi-supervised-semantic-segmentation-with-2 | 70.0% |
| semi-supervised-semantic-segmentation-via | 69.92% |
| semi-supervised-semantic-segmentation-with | 67.2% |
| classmix-segmentation-based-data-augmentation | 67.77% |
| the-gist-and-rist-of-iterative-self-training | 69.40% |
| semi-supervised-semantic-segmentation-with-5 | 70.52% |
| consistency-regularization-and-cutmix-for | 69.57% |
| bootstrapping-semantic-segmentation-with | 73.66% |
| semi-supervised-semantic-segmentation-with-5 | 72.52% |
| semi-supervised-semantic-segmentation-with | 66.6% |
| semi-supervised-semantic-segmentation-with | 62.9% |