Semi Supervised Semantic Segmentation On 24
評価指標
mIOU (1% Test set)
mIoU (1% Labels)
mIoU (10% Labels)
mIoU (20% Labels)
mIoU (50% Labels)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | mIOU (1% Test set) | mIoU (1% Labels) | mIoU (10% Labels) | mIoU (20% Labels) | mIoU (50% Labels) |
|---|---|---|---|---|---|
| 360-circ-from-a-single-camera-a-few-shot | 57.7 | 59.5 | 62.4 | 64.2 | 66.1 |
| learning-from-spatio-temporal-correlation-for | - | 61.1 | 63.1 | 64.1 | 64.3 |
| mean-teachers-are-better-role-models-weight | - | 37.5 | 53.1 | 56.1 | 57.4 |
| lasermix-for-semi-supervised-lidar-semantic | - | 50.6 | 60.0 | 61.9 | 62.3 |
| learning-from-spatio-temporal-correlation-for | - | 51.5 | - | - | - |
| consistency-regularization-and-cutmix-for | - | 37.4 | 54.3 | 56.6 | 57.6 |
| semi-supervised-semantic-segmentation-with-3 | - | 36.5 | 52.3 | 56.3 | 57.4 |
| what-can-be-seen-is-what-you-get-structure | - | 50.9 | 64.0 | - | 64.9 |
| mean-teachers-are-better-role-models-weight | - | 45.4 | 57.1 | 59.2 | 60.0 |
| unsupervised-domain-adaptation-for-semantic | - | 39.9 | 53.4 | 56.1 | 56.9 |
| learning-from-spatio-temporal-correlation-for | - | - | - | - | - |
| lasermix-for-semi-supervised-lidar-semantic | - | 43.4 | 58.8 | 59.4 | 61.4 |