Image Classification on CIFAR-100 (test) (Standard Top-1 Accuracy)
73.21Top-1 AccuracyFlexMatch+RDSS
Evaluation Results
| Method | Links | |
|---|---|---|
| FlexMatch+RDSSBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 73.21 | |
| FreeMatch+RDSSBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 73.13 | |
| CBSSALBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 69.34 | |
| CoreSetSSLBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 68.63 | |
| FreeMatch+RDSSBudget=2500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 67.4 | |
| FlexMatch+RDSSBudget=2500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 67.27 | |
| CBSSALBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 67.14 | |
| CoreSetSSLBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 66.29 | |
| CBSSALBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 63.73 | |
| CoreSetSSLBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 63.14 | |
| TOD-SemiBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 58.64 | |
| MCDALBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 54.14 | |
| LearnLossBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 54.02 | |
| VAALBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 53.99 | |
| CoreSetBudget=10000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 53.06 | |
| TOD-SemiBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 52.87 | |
| MCDALBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 49.34 | |
| FreeMatch+RDSSBudget=400, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 48.41 | |
| FlexMatch+RDSSBudget=400, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 48.12 | |
| LearnLossBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 47.81 | |
| CoreSetBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 47.17 | |
| VAALBudget=7500, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 47.02 | |
| MCDALBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 38.9 | |
| VAALBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 38.46 | |
| CoreSetBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 37.36 | |
| TOD-SemiBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 36.97 | |
| LearnLossBudget=5000, Backbone=ResNet-18, Epochs=300, Optimizer=SGD, Batch size=1282024.09 | 36.12 |