Semantic Segmentation On Cems W
평가 지표
mIoU
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | mIoU | Paper Title | Repository |
|---|---|---|---|
| UPerNet (RN50) | 84.94 | Robust Burned Area Delineation through Multitask Learning | - |
| SegFormer (MiT-B3) | 83.34 | Robust Burned Area Delineation through Multitask Learning | - |
| UPerNet (ViT-S) | 82.98 | Robust Burned Area Delineation through Multitask Learning | - |
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