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ResearchFormerly WizWand

Image Classification on CIFAR-10N w

86.5AccuracyIP Ensemble
83.1283.997584.87585.7525May 25, 2024
Updated 7mo ago

Evaluation results

MethodLinks
IP EnsembleBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0586.5
IPBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0586.31
DataInfBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0586.22
Self-TracInBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0586
LiSSABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0585.97
Self-LiSSABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0585.73
Cross EntropyBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0585.66
GEXBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0585.64
TracInBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0585.18
TDABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0584.02
EKFACBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0583.25