NSCLC segmentation on 4D-Lung (test)
67.23Mean Dice ScoreP2SAM
Evaluation Results
| Method | Links | |
|---|---|---|
| P2SAMAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M, Uses SAM=true2024.03 | 67.23 | |
| P2SAMAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M, Uses SAM=true2024.03 | 67 | |
| P2SAMAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M, Uses SAM=true2024.03 | 66.68 | |
| PerSAMAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M, Uses SAM=true2024.03 | 64.69 | |
| PerSAMAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M, Uses SAM=true2024.03 | 64.45 | |
| P2SAMAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M, Uses SAM=true2024.03 | 64.38 | |
| PerSAMAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M, Uses SAM=true2024.03 | 63.63 | |
| PerSAMAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M, Uses SAM=true2024.03 | 62.58 | |
| direct-transferAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M, Training-free=true2024.03 | 61.11 | |
| MatcherAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M, Uses SAM=true2024.03 | 59.52 | |
| direct-transferAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M, Training-free=true2024.03 | 58.18 | |
| direct-transferAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M, Training-free=true2024.03 | 57.83 | |
| MatcherAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M, Uses SAM=true2024.03 | 57.67 | |
| direct-transferAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M, Training-free=true2024.03 | 56.1 | |
| fine-tuneAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M2024.03 | 55.27 | |
| fine-tuneAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M2024.03 | 53.85 | |
| fine-tuneAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M2024.03 | 52.11 | |
| MatcherAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M, Uses SAM=true2024.03 | 50.88 | |
| MatcherAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M, Uses SAM=true2024.03 | 50.81 | |
| PANetAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M2024.03 | 44.7 | |
| PANetAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M2024.03 | 40.03 | |
| fine-tuneAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M2024.03 | 32.55 | |
| P2SAMAdaptation strategy=Meta, SAM Backbone=huge, Tunable parameters=0.0M, Training-free=true, Uses SAM=true2024.03 | 28.52 | |
| MatcherAdaptation strategy=Meta, SAM Backbone=huge, Tunable parameters=0.0M, Training-free=true, Uses SAM=true2024.03 | 13.28 | |
| PerSAMAdaptation strategy=Meta, SAM Backbone=huge, Tunable parameters=0.0M, Training-free=true, Uses SAM=true2024.03 | 9.84 | |
| PANetAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M2024.03 | 7.79 | |
| PANetAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M2024.03 | 5.24 | |
| PANetAdaptation strategy=Meta, SAM Backbone=huge, Tunable parameters=0.0M, Training-free=true2024.03 | 4.28 |