FCBFormer

Reported on 4 benchmarks across 1 task · 2 papers

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

Medical6 results

Medical Image SegmentationonKvasir-SEG
mean Dice· 2024-12-17
0.932
best: 0.9502 (DUCK-Net)
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging arXiv:2412.13156
Medical Image SegmentationonCVC-ClinicDB
mean Dice· 2024-12-17
0.9488
best: 0.9684 (DUCK-Net)
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging arXiv:2412.13156
Medical Image SegmentationonKvasir-SEG
mIoU· 2022-08-17
0.8903
best: 0.9065 (EffiSegNet-B5)
FCN-Transformer Feature Fusion for Polyp Segmentation arXiv:2208.08352
Medical Image SegmentationonKvasir-SEG
mean Dice· 2022-08-17
0.9385
best: 0.9502 (DUCK-Net)
FCN-Transformer Feature Fusion for Polyp Segmentation arXiv:2208.08352
Medical Image SegmentationonCVC-ClinicDB
mIoU· 2022-08-17
0.902
best: 0.9343 (DUCK-Net)
FCN-Transformer Feature Fusion for Polyp Segmentation arXiv:2208.08352
Medical Image SegmentationonCVC-ClinicDB
mean Dice· 2022-08-17
0.9469
best: 0.9684 (DUCK-Net)
FCN-Transformer Feature Fusion for Polyp Segmentation arXiv:2208.08352