Semi Supervised Semantic Segmentation On 29
Metrics
Validation mIoU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Validation mIoU |
|---|---|
| unimatch-v2-pushing-the-limit-of-semi | 88.9 |
| conservative-progressive-collaborative | 72.14 |
| corrmatch-label-propagation-via-correlation | 79.4 |
| revisiting-weak-to-strong-consistency-in-semi | 78.80 |
| semivl-semi-supervised-semantic-segmentation | 82.0 |
| semi-supervised-semantic-segmentation-using-2 | 73.7 |
| semi-supervised-semantic-segmentation-with-3 | 71.7 |
| logic-induced-diagnostic-reasoning-for-semi | 77.9 |
| semi-supervised-semantic-segmentation-via-3 | 79.09 |
| revisiting-and-maximizing-temporal-knowledge | 77.5 |
| allspark-reborn-labeled-features-from | 79.77 |
| semivl-semi-supervised-semantic-segmentation | 86.0 |
| revisiting-and-maximizing-temporal-knowledge | 79.6 |