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ResearchFormerly WizWand

Medical Image Segmentation on Kvasir-SEG 40 samples (train)

78.61DICEDINO-AugSeg
20.8935.87550.8665.845Jan 12, 2026
Updated 8mo ago

Evaluation results

MethodLinks
DINO-AugSegEncoder Type=SSL, Training Sample Number=402026.0178.61
MAEEncoder Type=SSL, Training Sample Number=402026.0166.96
Unet++Encoder Type=Conv, Training Sample Number=402026.0164.73
MoCov2Encoder Type=SSL, Training Sample Number=402026.0163.84
AIMv2Encoder Type=SSL, Training Sample Number=402026.0154.9
U-NetEncoder Type=Conv, Training Sample Number=402026.0145.31
SimSiamEncoder Type=SSL, Training Sample Number=402026.0144.94
SegDINOEncoder Type=SSL, Training Sample Number=402026.0142.6
Attention-UnetEncoder Type=Conv, Training Sample Number=402026.0142.59
SegFormerEncoder Type=Trans, Training Sample Number=402026.0139.66
SegNetEncoder Type=Conv, Training Sample Number=402026.0139.09
MultiResUNetEncoder Type=Conv, Training Sample Number=402026.0134.14
nn-UNetEncoder Type=Conv, Training Sample Number=402026.0130.08
SegResNetEncoder Type=Conv, Training Sample Number=402026.0129.91
MISSFormerEncoder Type=Trans, Training Sample Number=402026.0125.56
SwinUNETREncoder Type=Trans, Training Sample Number=402026.0123.11