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ResearchFormerly WizWand

Image Classification on OrganSMNIST

92.65AccuracyDUCS
59.973268.456676.9485.4234Nov 25, 2022Jun 25, 2023Jan 24, 2024Aug 24, 2024Mar 25, 2025Oct 24, 2025May 25, 2026
Updated 5mo ago

Evaluation results

MethodLinks
DUCSSelection Ratio=90%, Backbone=ResNet-182026.0392.65—
DUCSSelection Ratio=70%, Backbone=ResNet-182026.0392.18—
EVASelection Ratio=70%, Backbone=ResNet-182026.0391.94—
EVASelection Ratio=90%, Backbone=ResNet-182026.0391.89—
DUCSSelection Ratio=50%, Backbone=ResNet-182026.0391.82—
Full datasetSelection Ratio=100%, Backbone=ResNet-182026.0391.76—
Full datasetSelection Ratio (β)=100%, Backbone=ResNet-182026.0391.76—
ForgettingSelection Ratio=90%, Backbone=ResNet-182026.0391.58—
AUMSelection Ratio=90%, Backbone=ResNet-182026.0391.58—
EL2NSelection Ratio=90%, Backbone=ResNet-182026.0391.53—
ForgettingSelection Ratio=70%, Backbone=ResNet-182026.0391.46—
EntropySelection Ratio=90%, Backbone=ResNet-182026.0391.36—
EntropySelection Ratio=70%, Backbone=ResNet-182026.0391.31—
EVASelection Ratio=50%, Backbone=ResNet-182026.0391.21—
ForgettingSelection Ratio=50%, Backbone=ResNet-182026.0391.18—
RandomSelection Ratio=90%, Backbone=ResNet-182026.0391.16—
AUMSelection Ratio=70%, Backbone=ResNet-182026.0390.97—
EL2NSelection Ratio=70%, Backbone=ResNet-182026.0390.43—
EntropySelection Ratio=50%, Backbone=ResNet-182026.0390.41—
RandomSelection Ratio=70%, Backbone=ResNet-182026.0390.23—
EL2NSelection Ratio=50%, Backbone=ResNet-182026.0389.94—
DUCSSelection Ratio (β)=30%, Backbone=ResNet-182026.0389.9—
AUMSelection Ratio=50%, Backbone=ResNet-182026.0389.81—
RandomSelection Ratio=50%, Backbone=ResNet-182026.0389.63—
DUCSSelection Ratio (β)=20%, Backbone=ResNet-182026.0389.45—
EVASelection Ratio (β)=30%, Backbone=ResNet-182026.0388.77—
RandomSelection Ratio (β)=30%, Backbone=ResNet-182026.0387.64—
DUCSSelection Ratio (β)=10%, Backbone=ResNet-182026.0386.71—
CCSSelection Ratio=90%, Backbone=ResNet-182026.0386.38—
EVASelection Ratio (β)=20%, Backbone=ResNet-182026.0386.38—
EntropySelection Ratio (β)=30%, Backbone=ResNet-182026.0386.2—
RandomSelection Ratio (β)=20%, Backbone=ResNet-182026.0385.77—
CCSSelection Ratio=70%, Backbone=ResNet-182026.0385.69—
CCSSelection Ratio=50%, Backbone=ResNet-182026.0385.53—
CCSSelection Ratio (β)=30%, Backbone=ResNet-182026.0384.94—
DUCSSelection Ratio (β)=5%, Backbone=ResNet-182026.0384.47—
CCSSelection Ratio (β)=20%, Backbone=ResNet-182026.0383.64—
MedMamba-BResolution=224x2242026.0383.498.4
EVASelection Ratio (β)=10%, Backbone=ResNet-182026.0383.11—
MO-MAE2026.0583.198.3
ModerateSelection Ratio=90%, Backbone=ResNet-182026.0381.7—
AutoKeras2026.0581.397.4
ForgettingSelection Ratio (β)=30%, Backbone=ResNet-182026.0381.28—
HamClsResolution=224x2242026.0380.9698.02
RandomSelection Ratio (β)=10%, Backbone=ResNet-182026.0380.95—
GIF-SDBackbone=ResNet-50, Expansion Factor=5x2022.1180.7—
GIF-SDBackbone=ResNet-50, Expansion Ratio=5x2022.1180.7—
GIF-MAEBackbone=ResNet-50, Expansion Factor=5x2022.1180.6—
GIF-MAEBackbone=ResNet-50, Expansion Ratio=5x2022.1180.6—
ModerateSelection Ratio=70%, Backbone=ResNet-182026.0380.6—
MedVIT-L2026.0580.697.3
GIF-DALLEBackbone=ResNet-50, Expansion Factor=5x2022.1180.5—
GIF-DALLEBackbone=ResNet-50, Expansion Ratio=5x2022.1180.5—
MedViT-SResolution=224x2242026.0380.598.7
MedVIT-S2026.0580.598.7
RandAugmentBackbone=ResNet-50, Expansion Ratio=5x2022.1179.6—
DALL-E2Backbone=ResNet-50, Expansion Factor=5x2022.1179.3—
DALL-E2Backbone=ResNet-50, Expansion Ratio=5x2022.1179.3—
SDBackbone=ResNet-50, Expansion Factor=5x2022.1178.9—
GridMaskBackbone=ResNet-50, Expansion Ratio=5x2022.1178.9—
SDBackbone=ResNet-50, Expansion Ratio=5x2022.1178.9—
MedVIT-T2026.0578.997.2
EVASelection Ratio (β)=5%, Backbone=ResNet-182026.0378.71—
EntropySelection Ratio (β)=20%, Backbone=ResNet-182026.0378.69—
MAEBackbone=ResNet-50, Expansion Factor=5x2022.1178.6—
MAEBackbone=ResNet-50, Expansion Ratio=5x2022.1178.6—
AMIMV-SSLBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0478.57—
ResNet-502026.0578.597.5
CCSSelection Ratio (β)=10%, Backbone=ResNet-182026.0378.46—
CutoutBackbone=ResNet-50, Expansion Ratio=5x2022.1178.3—
MoCoV3Backbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0477.92—
ResNet-182026.0577.897.4
Distillation of CLIPBackbone=ResNet-502022.1177.4—
ReSSLBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0477.2—
DUCSSelection Ratio (β)=2%, Backbone=ResNet-182026.0377.17—
SimCLRBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0476.78—
NNCLRBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0476.54—
Barlow TwinsBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0476.54—
OriginalBackbone=ResNet-50, Expansion Factor=1x2022.1176.3—
OriginalBackbone=ResNet-50, Expansion Ratio=1x2022.1176.3—
BYOLBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0476.24—
TDDSSelection Ratio=90%, Backbone=ResNet-182026.0376.02—
ModerateSelection Ratio=50%, Backbone=ResNet-182026.0375.64—
TDDSSelection Ratio=70%, Backbone=ResNet-182026.0375.51—
TDDSSelection Ratio=50%, Backbone=ResNet-182026.0375.07—
Google AutoML2026.0574.996.4
TDDSSelection Ratio (β)=30%, Backbone=ResNet-182026.0374.27—
VICRegBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0473.86—
RandomSelection Ratio (β)=5%, Backbone=ResNet-182026.0373.1—
ModerateSelection Ratio (β)=30%, Backbone=ResNet-182026.0373.05—
DUCSSelection Ratio (β)=1%, Backbone=ResNet-182026.0372.45—
CCSSelection Ratio (β)=5%, Backbone=ResNet-182026.0371.73—
DINOBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0471.01—
TDDSSelection Ratio (β)=20%, Backbone=ResNet-182026.0368.6—
ModerateSelection Ratio (β)=20%, Backbone=ResNet-182026.0367.9—
Auto-sklearn2026.0567.294.5
AUMSelection Ratio (β)=30%, Backbone=ResNet-182026.0365.93—
ForgettingSelection Ratio (β)=20%, Backbone=ResNet-182026.0364.43—
TDDSSelection Ratio (β)=10%, Backbone=ResNet-182026.0362.9—
EVASelection Ratio (β)=2%, Backbone=ResNet-182026.0361.23—