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ResearchFormerly WizWand

Image Classification on ImageNet-50 (test)

99.92ASRBackWeak
-3.19623.574550.34577.1155Nov 15, 2025
Updated 5mo ago

Evaluation results

MethodLinks
BackWeakKD Method=Response, Model=ResNet-34 (Teacher), Trigger Only=false2025.1199.92——71.7294.81
BackWeakKD Method=Feature, Model=ResNet-34 (Teacher), Trigger Only=false2025.1199.92——71.7294.81
BackWeakKD Method=Relation, Model=ResNet-34 (Teacher), Trigger Only=false2025.1199.92——71.7294.81
BackWeakKD Method=Feature, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.1198.54——69.3493.56
BackWeakKD Method=Feature, Model=MobileNet-V2 (Student A), Trigger Only=false2025.1197.12——68.192.17
ADBAKD Method=Feature, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.1196.01——13.898.55
BackWeakKD Method=Relation, Model=MobileNet-V2 (Student A), Trigger Only=false2025.1195.84——74.4691.61
BackWeakKD Method=Relation, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.1194.57——74.3290.36
ADBAKD Method=Feature, Model=MobileNet-V2 (Student A), Trigger Only=false2025.1193.17——18.911.01
ADBAKD Method=Feature, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.1192.74——19.5211.19
BackWeakKD Method=Feature, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.1191.87——62.6286.86
ADBAKD Method=Response, Model=ResNet-34 (Teacher), Trigger Only=false2025.1190.09——27.3417.63
ADBAKD Method=Feature, Model=ResNet-34 (Teacher), Trigger Only=false2025.1190.09——27.3417.63
ADBAKD Method=Relation, Model=ResNet-34 (Teacher), Trigger Only=false2025.1190.09——27.3417.63
ADBAKD Method=Relation, Model=MobileNet-V2 (Student A), Trigger Only=false2025.1185.02——30.5815.12
ADBAKD Method=Relation, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.1182.24——31.4813.35
BackWeakKD Method=Response, Model=MobileNet-V2 (Student A), Trigger Only=false2025.1181.43——75.7278.48
ADBAKD Method=Relation, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.1180.6——29.8370.75
BackWeakKD Method=Relation, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.1178.93——73.8174.78
BackWeakKD Method=Response, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.1175.87——74.5272.99
BackWeakKD Method=Response, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.1169.7——75.7866.55
ADBAKD Method=Response, Model=MobileNet-V2 (Student A), Trigger Only=false2025.1162.02——51.9917.77
ADBAKD Method=Response, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.1159.98——51.6716.45
ADBAKD Method=Response, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.1153.77——54.4313.41
BackWeakKD Method=Response, Model=ResNet-34 (Teacher), Trigger Only=true2025.115.76——74.095.43
BackWeakKD Method=Feature, Model=ResNet-34 (Teacher), Trigger Only=true2025.115.76——74.095.43
BackWeakKD Method=Relation, Model=ResNet-34 (Teacher), Trigger Only=true2025.115.76——74.095.43
BackWeakKD Method=Feature, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.114.03——65.163.4
BackWeakKD Method=Feature, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.113.37——71.243.1
BackWeakKD Method=Feature, Model=MobileNet-V2 (Student A), Trigger Only=true2025.113.33——70.312.72
BackWeakKD Method=Relation, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.112.9——76.052.44
BackWeakKD Method=Relation, Model=MobileNet-V2 (Student A), Trigger Only=true2025.112.68——75.62.17
BackWeakKD Method=Response, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.112.6——76.591.89
BackWeakKD Method=Response, Model=MobileNet-V2 (Student A), Trigger Only=true2025.112.49——76.291.9
BackWeakKD Method=Response, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.112.35——75.161.59
BackWeakKD Method=Relation, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.112.27——75.61.61
ADBAKD Method=Relation, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.111.36——76.050.7
ADBAKD Method=Response, Model=ResNet-34 (Teacher), Trigger Only=true2025.111.18——74.095.96
ADBAKD Method=Feature, Model=ResNet-34 (Teacher), Trigger Only=true2025.111.18——74.095.96
ADBAKD Method=Relation, Model=ResNet-34 (Teacher), Trigger Only=true2025.111.18——74.095.96
ADBAKD Method=Feature, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.111.12——71.240.42
ADBAKD Method=Response, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.111.09——76.590.34
ADBAKD Method=Feature, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.111.09——65.160.12
ADBAKD Method=Response, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.111.07——75.160
ADBAKD Method=Feature, Model=MobileNet-V2 (Student A), Trigger Only=true2025.111.05——70.310.28
ADBAKD Method=Relation, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.111.05——75.60.32
ADBAKD Method=Relation, Model=MobileNet-V2 (Student A), Trigger Only=true2025.110.81——75.60.08
ADBAKD Method=Response, Model=MobileNet-V2 (Student A), Trigger Only=true2025.110.77——76.290
CRAIGBudget=10%2025.12—16.1———
CRAIGBudget=30%2025.12—22.9———
CRAIGBudget=50%2025.12—27———
CRESTBudget=10%2025.12—21.2———
CRESTBudget=30%2025.12—28.5———
CRESTBudget=50%2025.12—32.8———
DDFA (SI)alpha=0.5, kappa=200, r (number of domains)=50, Backbone initialization=SCAN2022.07—72.21.1——
DDFA (SI)alpha=3, kappa=205, r (number of domains)=50, Backbone initialization=SCAN2022.07—59.41.5——
DDFA (SI)alpha=10, kappa=210, r (number of domains)=50, Backbone initialization=SCAN2022.07—45.21.9——
DDFA (SI)alpha=0.5, kappa=200, r (number of domains)=60, Backbone initialization=SCAN2022.07—801——
DDFA (SI)alpha=3, kappa=205, r (number of domains)=60, Backbone initialization=SCAN2022.07—69.61.4——
DDFA (SI)alpha=10, kappa=210, r (number of domains)=60, Backbone initialization=SCAN2022.07—58.61.7——
DiversityBudget=10%2025.12—13.9———
DiversityBudget=30%2025.12—20.8———
DiversityBudget=50%2025.12—24.9———
GLISTERBudget=10%2025.12—15.5———
GLISTERBudget=30%2025.12—22.3———
GLISTERBudget=50%2025.12—26.4———
GradMatchBudget=10%2025.12—15———
GradMatchBudget=30%2025.12—21.8———
GradMatchBudget=50%2025.12—26———
MODEBudget=10%2025.12—24.3———
MODEBudget=30%2025.12—29———
MODEBudget=50%2025.12—31———
RandomBudget=10%2025.12—12.2———
RandomBudget=30%2025.12—18.7———
RandomBudget=50%2025.12—22.8———
RETRIEVEBudget=10%2025.12—16.8———
RETRIEVEBudget=30%2025.12—23.6———
RETRIEVEBudget=50%2025.12—27.7———
SCANalpha=0.5, kappa=200, r (number of domains)=502022.07—73.43.9——
SCANalpha=3, kappa=205, r (number of domains)=502022.07—75.13.7——
SCANalpha=10, kappa=210, r (number of domains)=502022.07—73.63.2——
SCANalpha=0.5, kappa=200, r (number of domains)=602022.07—74.73.9——
SCANalpha=3, kappa=205, r (number of domains)=602022.07—75.63.7——
SCANalpha=10, kappa=210, r (number of domains)=602022.07—73.73.2——
UncertaintyBudget=10%2025.12—14.8———
UncertaintyBudget=30%2025.12—21.5———
UncertaintyBudget=50%2025.12—25.6———