Medical Image Segmentation on Kvasir-SEG 40 samples (train)
78.61DICEDINO-AugSeg
Evaluation Results
| Method | Links | |
|---|---|---|
| DINO-AugSegEncoder Type=SSL, Training Sample Number=402026.01 | 78.61 | |
| MAEEncoder Type=SSL, Training Sample Number=402026.01 | 66.96 | |
| Unet++Encoder Type=Conv, Training Sample Number=402026.01 | 64.73 | |
| MoCov2Encoder Type=SSL, Training Sample Number=402026.01 | 63.84 | |
| AIMv2Encoder Type=SSL, Training Sample Number=402026.01 | 54.9 | |
| U-NetEncoder Type=Conv, Training Sample Number=402026.01 | 45.31 | |
| SimSiamEncoder Type=SSL, Training Sample Number=402026.01 | 44.94 | |
| SegDINOEncoder Type=SSL, Training Sample Number=402026.01 | 42.6 | |
| Attention-UnetEncoder Type=Conv, Training Sample Number=402026.01 | 42.59 | |
| SegFormerEncoder Type=Trans, Training Sample Number=402026.01 | 39.66 | |
| SegNetEncoder Type=Conv, Training Sample Number=402026.01 | 39.09 | |
| MultiResUNetEncoder Type=Conv, Training Sample Number=402026.01 | 34.14 | |
| nn-UNetEncoder Type=Conv, Training Sample Number=402026.01 | 30.08 | |
| SegResNetEncoder Type=Conv, Training Sample Number=402026.01 | 29.91 | |
| MISSFormerEncoder Type=Trans, Training Sample Number=402026.01 | 25.56 | |
| SwinUNETREncoder Type=Trans, Training Sample Number=402026.01 | 23.11 |