Semi Supervised Semantic Segmentation On 22
Metriken
Validation mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Validation mIoU |
|---|---|
| semi-supervised-semantic-segmentation-using-2 | 74.90% |
| confidence-weighted-boundary-aware-learning | 75.00 |
| semi-supervised-semantic-segmentation-with-6 | 73.41% |
| dense-fixmatch-a-simple-semi-supervised | 71.1% |
| n-cps-generalising-cross-pseudo-supervision | 76.08 |
| revisiting-and-maximizing-temporal-knowledge | 77.7% |
| switching-temporary-teachers-for-semi | 76.81 |
| semivl-semi-supervised-semantic-segmentation | 77.9 |
| semi-supervised-semantic-segmentation-with-3 | 69.8 |
| revisiting-and-maximizing-temporal-knowledge | 75.8% |
| semi-supervised-semantic-segmentation-via-2 | 75.83% |
| revisiting-weak-to-strong-consistency-in-semi | 76.59 |
| unimatch-v2-pushing-the-limit-of-semi | 83.6 |
| corrmatch-label-propagation-via-correlation | 77.3 |
| conservative-progressive-collaborative | 69.92% |
| semi-supervised-semantic-segmentation-via-3 | 77.00 |
| dense-fixmatch-a-simple-semi-supervised | 70.65% |