ADSNet

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
mIoU· 2024-05-13
0.871
best: 0.9065 (EffiSegNet-B5)
Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation arXiv:2405.07523
Medical Image SegmentationonKvasir-SEG
mean Dice· 2024-05-13
0.92
best: 0.9502 (DUCK-Net)
Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation arXiv:2405.07523
Medical Image SegmentationonCVC-ClinicDB
mIoU· 2024-05-13
0.89
best: 0.9343 (DUCK-Net)
Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation arXiv:2405.07523
Medical Image SegmentationonCVC-ClinicDB
mean Dice· 2024-05-13
0.938
best: 0.9684 (DUCK-Net)
Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation arXiv:2405.07523