One-shot segmentation on IBIS-wmgm
80.6DiceLocal Spatiotemporal Representation Learning
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Local Spatiotemporal Representation LearningLoss Config=w/ Lcs2022.06 | 80.6 | 67.6 | 3.237 | 4.15 | 91 | |
| Local Spatiotemporal Representation LearningLoss Config=w/o Lcs2022.06 | 75.8 | 61.4 | 3.291 | 2.46 | 88.2 | |
| PatchNCE2022.06 | 75.3 | 60.7 | 4.344 | 3.78 | 88.9 | |
| LNE2022.06 | 71.6 | 56.3 | 3.201 | 5.35 | 85.8 | |
| PCL2022.06 | 71.5 | 56.2 | 4.974 | 10.65 | 86.8 | |
| RandInitUnet.3DArchitecture=3D, Initialization=Random2022.06 | 71.3 | 56 | 3.788 | 5.52 | 86.3 | |
| GLCL2022.06 | 70.7 | 55 | 4.112 | 8.47 | 85.8 | |
| RandInitUnet.2DArchitecture=2D, Initialization=Random2022.06 | 67.2 | 51 | 3.274 | 11.51 | 83.2 | |
| Context Restore2022.06 | 59 | 44.4 | 8.273 | 29.24 | 81.3 |