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ResearchFormerly WizWand

Image Classification on CIFAR-100 (test) (Standard Top-1 Accuracy)

73.21Top-1 AccuracyFlexMatch+RDSS
34.636444.650754.66564.6793Sep 18, 2024
Updated 8mo ago

Evaluation results

MethodLinks
FlexMatch+RDSSBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0973.21
FreeMatch+RDSSBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0973.13
CBSSALBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0969.34
CoreSetSSLBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0968.63
FreeMatch+RDSSBudget=2500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0967.4
FlexMatch+RDSSBudget=2500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0967.27
CBSSALBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0967.14
CoreSetSSLBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0966.29
CBSSALBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0963.73
CoreSetSSLBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0963.14
TOD-SemiBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0958.64
MCDALBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0954.14
LearnLossBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0954.02
VAALBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0953.99
CoreSetBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0953.06
TOD-SemiBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0952.87
MCDALBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0949.34
FreeMatch+RDSSBudget=400, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0948.41
FlexMatch+RDSSBudget=400, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0948.12
LearnLossBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0947.81
CoreSetBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0947.17
VAALBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0947.02
MCDALBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0938.9
VAALBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0938.46
CoreSetBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0937.36
TOD-SemiBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0936.97
LearnLossBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.0936.12