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ResearchFormerly WizWand

Image Classification on CIFAR-10N (test)

92.42AccuracyIP
82.321684.943387.56590.1867Nov 29, 2021Apr 29, 2022Sep 27, 2022Feb 26, 2023Jul 27, 2023Dec 25, 2023May 25, 2024
Updated 7mo ago

Evaluation results

MethodLinks
IPBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0592.42
IP EnsembleBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0592.26
LiSSABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0592.13
Self-TracInBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0592.03
TDABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0591.95
Self-LiSSABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0591.91
DataInfBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0591.88
GEXBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0591.81
EKFACBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0591.76
Cross EntropyBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0591.62
TracInBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.0590.48
FasTEN2021.1187.01
MLoC2021.1184.45
MSLC2021.1184.35
MW-Net2021.1183.82
MLaC2021.1183.64
L2RW2021.1183.15
Deep kNN2021.1182.87
GLC2021.1182.71