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ResearchFormerly WizWand

Image Classification on SIIM-ACR (test)

93.88AUROCM&M
74.213679.319384.42589.5307Mar 19, 2024Apr 9, 2024Apr 30, 2024May 21, 2024Jun 11, 2024Jul 2, 2024Jul 23, 2024
Updated 8mo ago

Evaluation results

MethodLinks
M&MTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0793.88
EGMAPortion of training data=100%, Evaluation protocol=Linear classification2024.0393.29
PRIORPortion of training data=100%, Evaluation protocol=Linear classification2024.0392.49
PRIORTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0792.39
MedCLIPPortion of training data=100%, Evaluation protocol=Linear classification2024.0392.18
EGMAPortion of training data=10%, Evaluation protocol=Linear classification2024.0392.17
MGCAPortion of training data=100%, Evaluation protocol=Linear classification2024.0392.16
LOVTTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0792.16
GLORIATraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0792.11
MedKLIPPortion of training data=100%, Evaluation protocol=Linear classification2024.0391.88
MedKLIPTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0791.88
ConVIRTTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0791.5
M&MTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0791.15
MedCLIPPortion of training data=10%, Evaluation protocol=Linear classification2024.0391.13
EGMAPortion of training data=1%, Evaluation protocol=Linear classification2024.0390.78
MedKLIPPortion of training data=10%, Evaluation protocol=Linear classification2024.0390.71
MedKLIPTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0790.71
BioViLPortion of training data=100%, Evaluation protocol=Linear classification2024.0390.51
BioViLTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0790.48
PRIORPortion of training data=10%, Evaluation protocol=Linear classification2024.0389.72
MGCAPortion of training data=10%, Evaluation protocol=Linear classification2024.0389.66
PRIORTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0789.13
MedCLIPPortion of training data=1%, Evaluation protocol=Linear classification2024.0388.84
M&MTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0788.81
SimCLRTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0788.72
GLORIATraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0788.51
LOVTTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0788.5
MoCoTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0788.43
PRIORPortion of training data=1%, Evaluation protocol=Linear classification2024.0388.35
PRIORTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0787.27
MGCAPortion of training data=1%, Evaluation protocol=Linear classification2024.0386.12
ConVIRTTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0785.66
LOVTTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0785.47
MedKLIPPortion of training data=1%, Evaluation protocol=Linear classification2024.0385.27
MedKLIPTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0785.27
GLORIATraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0785.05
ConVIRTTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0784.17
SimCLRTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0783.21
BioViLPortion of training data=10%, Evaluation protocol=Linear classification2024.0382.79
BioViLTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0781.62
MoCoTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0781.01
BioViLPortion of training data=1%, Evaluation protocol=Linear classification2024.0380.26
BioViLTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0779.89
MoCoTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0775.49
SimCLRTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0774.97