LM-Net

Reported on 4 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical4 results

Medical Image SegmentationonKvasir-SEG
Precision· 2025-01-07
0.8964
best: 0.9713 (EffiSegNet-B5)
LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation arXiv:2501.03838
Medical Image SegmentationonKvasir-SEG
Recall· 2025-01-07
0.9038
best: 0.9429 (EffiSegNet-B4)
LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation arXiv:2501.03838
Medical Image SegmentationonKvasir-SEG
mIoU· 2025-01-07
0.8912
best: 0.9065 (EffiSegNet-B5)
LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation arXiv:2501.03838
Medical Image SegmentationonKvasir-SEG
mean Dice· 2025-01-07
0.9409
best: 0.9502 (DUCK-Net)
LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation arXiv:2501.03838