Semi Supervised Semantic Segmentation On 9
평가 지표
Validation mIoU
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Validation mIoU |
|---|---|
| allspark-reborn-labeled-features-from | 80.92 |
| semi-supervised-semantic-segmentation-with-6 | 80.78 |
| dense-fixmatch-a-simple-semi-supervised | 72.04 |
| n-cps-generalising-cross-pseudo-supervision | 75.85 |
| guidedmix-net-learning-to-improve-pseudo | 75.5% |
| confidence-weighted-boundary-aware-learning | 76.2 |
| semi-supervised-semantic-segmentation-with-3 | 77.68% |
| dense-fixmatch-a-simple-semi-supervised | 69.02 |
| conservative-progressive-collaborative | 74.58 |
| conservative-progressive-collaborative | 77.16 |
| semi-supervised-semantic-segmentation-using-2 | 79.3 |
| learning-pseudo-labels-for-semi-and-weakly | 76.47 |
| n-cps-generalising-cross-pseudo-supervision | 78.97 |
| classmix-segmentation-based-data-augmentation | 72.45 |
| guidedmix-net-learning-to-improve-pseudo | 77.8% |
| semi-supervised-semantic-segmentation-with-5 | 74.63% |
| corrmatch-label-propagation-via-correlation | 80.9 |
| semi-supervised-semantic-segmentation-with-5 | 76.58% |
| semi-supervised-semantic-segmentation-via-3 | 79.85 |
| switching-temporary-teachers-for-semi | 81.03 |
| semi-supervised-semantic-segmentation-via-2 | 78.06 |
| perturbed-and-strict-mean-teachers-for-semi | 78.72 |
| revisiting-weak-to-strong-consistency-in-semi | 80.43 |
| revisiting-and-maximizing-temporal-knowledge | 80.8 |