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ResearchFormerly WizWand

NSCLC segmentation on 4D-Lung (test)

67.23Mean Dice ScoreP2SAM
1.76218.758535.75552.7515Mar 8, 2024
Updated 8mo ago

Evaluation results

MethodLinks
P2SAMAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M, Uses SAM=true2024.0367.23
P2SAMAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M, Uses SAM=true2024.0367
P2SAMAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M, Uses SAM=true2024.0366.68
PerSAMAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M, Uses SAM=true2024.0364.69
PerSAMAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M, Uses SAM=true2024.0364.45
P2SAMAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M, Uses SAM=true2024.0364.38
PerSAMAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M, Uses SAM=true2024.0363.63
PerSAMAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M, Uses SAM=true2024.0362.58
direct-transferAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M, Training-free=true2024.0361.11
MatcherAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M, Uses SAM=true2024.0359.52
direct-transferAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M, Training-free=true2024.0358.18
direct-transferAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M, Training-free=true2024.0357.83
MatcherAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M, Uses SAM=true2024.0357.67
direct-transferAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M, Training-free=true2024.0356.1
fine-tuneAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M2024.0355.27
fine-tuneAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M2024.0353.85
fine-tuneAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M2024.0352.11
MatcherAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M, Uses SAM=true2024.0350.88
MatcherAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M, Uses SAM=true2024.0350.81
PANetAdaptation strategy=Full-Fine-Tune, SAM Backbone=large, Tunable parameters=312.5M2024.0344.7
PANetAdaptation strategy=Full-Fine-Tune, SAM Backbone=base, Tunable parameters=93.8M2024.0340.03
fine-tuneAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M2024.0332.55
P2SAMAdaptation strategy=Meta, SAM Backbone=huge, Tunable parameters=0.0M, Training-free=true, Uses SAM=true2024.0328.52
MatcherAdaptation strategy=Meta, SAM Backbone=huge, Tunable parameters=0.0M, Training-free=true, Uses SAM=true2024.0313.28
PerSAMAdaptation strategy=Meta, SAM Backbone=huge, Tunable parameters=0.0M, Training-free=true, Uses SAM=true2024.039.84
PANetAdaptation strategy=LoRA, SAM Backbone=large, Tunable parameters=5.9M2024.037.79
PANetAdaptation strategy=LoRA, SAM Backbone=base, Tunable parameters=5.5M2024.035.24
PANetAdaptation strategy=Meta, SAM Backbone=huge, Tunable parameters=0.0M, Training-free=true2024.034.28