Semi Supervised Semantic Segmentation On 23
평가 지표
mIoU (1% Labels)
mIoU (10% Labels)
mIoU (20% Labels)
mIoU (50% Labels)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | mIoU (1% Labels) | mIoU (10% Labels) | mIoU (20% Labels) | mIoU (50% Labels) |
|---|---|---|---|---|
| consistency-regularization-and-cutmix-for | 36.7 | 50.7 | 52.9 | 54.3 |
| unsupervised-domain-adaptation-for-semantic | 35.7 | 50.7 | 52.7 | 54.6 |
| cylindrical-and-asymmetrical-3d-convolution | 39.2 | 48.0 | 52.1 | 53.8 |
| mean-teachers-are-better-role-models-weight | 34.2 | 49.8 | 51.6 | 53.3 |
| lasermix-for-semi-supervised-lidar-semantic | 38.3 | 54.4 | 55.6 | 58.7 |
| mean-teachers-are-better-role-models-weight | 41.0 | 50.1 | 52.8 | 53.9 |
| semi-supervised-semantic-segmentation-with-3 | 33.7 | 50.0 | 52.8 | 54.6 |
| lasermix-for-semi-supervised-lidar-semantic | 44.2 | 53.7 | 55.1 | 56.8 |
| fidnet-lidar-point-cloud-semantic | 33.1 | 47.7 | 49.9 | 52.5 |