Image Classification on ImageNet-50 (test)
99.92ASRBackWeak
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| BackWeakKD Method=Response, Model=ResNet-34 (Teacher), Trigger Only=false2025.11 | 99.92 | — | — | 71.72 | 94.81 | |
| BackWeakKD Method=Feature, Model=ResNet-34 (Teacher), Trigger Only=false2025.11 | 99.92 | — | — | 71.72 | 94.81 | |
| BackWeakKD Method=Relation, Model=ResNet-34 (Teacher), Trigger Only=false2025.11 | 99.92 | — | — | 71.72 | 94.81 | |
| BackWeakKD Method=Feature, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.11 | 98.54 | — | — | 69.34 | 93.56 | |
| BackWeakKD Method=Feature, Model=MobileNet-V2 (Student A), Trigger Only=false2025.11 | 97.12 | — | — | 68.1 | 92.17 | |
| ADBAKD Method=Feature, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.11 | 96.01 | — | — | 13.89 | 8.55 | |
| BackWeakKD Method=Relation, Model=MobileNet-V2 (Student A), Trigger Only=false2025.11 | 95.84 | — | — | 74.46 | 91.61 | |
| BackWeakKD Method=Relation, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.11 | 94.57 | — | — | 74.32 | 90.36 | |
| ADBAKD Method=Feature, Model=MobileNet-V2 (Student A), Trigger Only=false2025.11 | 93.17 | — | — | 18.9 | 11.01 | |
| ADBAKD Method=Feature, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.11 | 92.74 | — | — | 19.52 | 11.19 | |
| BackWeakKD Method=Feature, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.11 | 91.87 | — | — | 62.62 | 86.86 | |
| ADBAKD Method=Response, Model=ResNet-34 (Teacher), Trigger Only=false2025.11 | 90.09 | — | — | 27.34 | 17.63 | |
| ADBAKD Method=Feature, Model=ResNet-34 (Teacher), Trigger Only=false2025.11 | 90.09 | — | — | 27.34 | 17.63 | |
| ADBAKD Method=Relation, Model=ResNet-34 (Teacher), Trigger Only=false2025.11 | 90.09 | — | — | 27.34 | 17.63 | |
| ADBAKD Method=Relation, Model=MobileNet-V2 (Student A), Trigger Only=false2025.11 | 85.02 | — | — | 30.58 | 15.12 | |
| ADBAKD Method=Relation, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.11 | 82.24 | — | — | 31.48 | 13.35 | |
| BackWeakKD Method=Response, Model=MobileNet-V2 (Student A), Trigger Only=false2025.11 | 81.43 | — | — | 75.72 | 78.48 | |
| ADBAKD Method=Relation, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.11 | 80.6 | — | — | 29.83 | 70.75 | |
| BackWeakKD Method=Relation, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.11 | 78.93 | — | — | 73.81 | 74.78 | |
| BackWeakKD Method=Response, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.11 | 75.87 | — | — | 74.52 | 72.99 | |
| BackWeakKD Method=Response, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.11 | 69.7 | — | — | 75.78 | 66.55 | |
| ADBAKD Method=Response, Model=MobileNet-V2 (Student A), Trigger Only=false2025.11 | 62.02 | — | — | 51.99 | 17.77 | |
| ADBAKD Method=Response, Model=DenseNet-BC-121 (Student C), Trigger Only=false2025.11 | 59.98 | — | — | 51.67 | 16.45 | |
| ADBAKD Method=Response, Model=ShuffleNet-V2 (Student B), Trigger Only=false2025.11 | 53.77 | — | — | 54.43 | 13.41 | |
| BackWeakKD Method=Response, Model=ResNet-34 (Teacher), Trigger Only=true2025.11 | 5.76 | — | — | 74.09 | 5.43 | |
| BackWeakKD Method=Feature, Model=ResNet-34 (Teacher), Trigger Only=true2025.11 | 5.76 | — | — | 74.09 | 5.43 | |
| BackWeakKD Method=Relation, Model=ResNet-34 (Teacher), Trigger Only=true2025.11 | 5.76 | — | — | 74.09 | 5.43 | |
| BackWeakKD Method=Feature, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.11 | 4.03 | — | — | 65.16 | 3.4 | |
| BackWeakKD Method=Feature, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.11 | 3.37 | — | — | 71.24 | 3.1 | |
| BackWeakKD Method=Feature, Model=MobileNet-V2 (Student A), Trigger Only=true2025.11 | 3.33 | — | — | 70.31 | 2.72 | |
| BackWeakKD Method=Relation, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.11 | 2.9 | — | — | 76.05 | 2.44 | |
| BackWeakKD Method=Relation, Model=MobileNet-V2 (Student A), Trigger Only=true2025.11 | 2.68 | — | — | 75.6 | 2.17 | |
| BackWeakKD Method=Response, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.11 | 2.6 | — | — | 76.59 | 1.89 | |
| BackWeakKD Method=Response, Model=MobileNet-V2 (Student A), Trigger Only=true2025.11 | 2.49 | — | — | 76.29 | 1.9 | |
| BackWeakKD Method=Response, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.11 | 2.35 | — | — | 75.16 | 1.59 | |
| BackWeakKD Method=Relation, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.11 | 2.27 | — | — | 75.6 | 1.61 | |
| ADBAKD Method=Relation, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.11 | 1.36 | — | — | 76.05 | 0.7 | |
| ADBAKD Method=Response, Model=ResNet-34 (Teacher), Trigger Only=true2025.11 | 1.18 | — | — | 74.09 | 5.96 | |
| ADBAKD Method=Feature, Model=ResNet-34 (Teacher), Trigger Only=true2025.11 | 1.18 | — | — | 74.09 | 5.96 | |
| ADBAKD Method=Relation, Model=ResNet-34 (Teacher), Trigger Only=true2025.11 | 1.18 | — | — | 74.09 | 5.96 | |
| ADBAKD Method=Feature, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.11 | 1.12 | — | — | 71.24 | 0.42 | |
| ADBAKD Method=Response, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.11 | 1.09 | — | — | 76.59 | 0.34 | |
| ADBAKD Method=Feature, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.11 | 1.09 | — | — | 65.16 | 0.12 | |
| ADBAKD Method=Response, Model=DenseNet-BC-121 (Student C), Trigger Only=true2025.11 | 1.07 | — | — | 75.16 | 0 | |
| ADBAKD Method=Feature, Model=MobileNet-V2 (Student A), Trigger Only=true2025.11 | 1.05 | — | — | 70.31 | 0.28 | |
| ADBAKD Method=Relation, Model=ShuffleNet-V2 (Student B), Trigger Only=true2025.11 | 1.05 | — | — | 75.6 | 0.32 | |
| ADBAKD Method=Relation, Model=MobileNet-V2 (Student A), Trigger Only=true2025.11 | 0.81 | — | — | 75.6 | 0.08 | |
| ADBAKD Method=Response, Model=MobileNet-V2 (Student A), Trigger Only=true2025.11 | 0.77 | — | — | 76.29 | 0 | |
| 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 | — | 72.2 | 1.1 | — | — | |
| DDFA (SI)alpha=3, kappa=205, r (number of domains)=50, Backbone initialization=SCAN2022.07 | — | 59.4 | 1.5 | — | — | |
| DDFA (SI)alpha=10, kappa=210, r (number of domains)=50, Backbone initialization=SCAN2022.07 | — | 45.2 | 1.9 | — | — | |
| DDFA (SI)alpha=0.5, kappa=200, r (number of domains)=60, Backbone initialization=SCAN2022.07 | — | 80 | 1 | — | — | |
| DDFA (SI)alpha=3, kappa=205, r (number of domains)=60, Backbone initialization=SCAN2022.07 | — | 69.6 | 1.4 | — | — | |
| DDFA (SI)alpha=10, kappa=210, r (number of domains)=60, Backbone initialization=SCAN2022.07 | — | 58.6 | 1.7 | — | — | |
| 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 | — | 73.4 | 3.9 | — | — | |
| SCANalpha=3, kappa=205, r (number of domains)=502022.07 | — | 75.1 | 3.7 | — | — | |
| SCANalpha=10, kappa=210, r (number of domains)=502022.07 | — | 73.6 | 3.2 | — | — | |
| SCANalpha=0.5, kappa=200, r (number of domains)=602022.07 | — | 74.7 | 3.9 | — | — | |
| SCANalpha=3, kappa=205, r (number of domains)=602022.07 | — | 75.6 | 3.7 | — | — | |
| SCANalpha=10, kappa=210, r (number of domains)=602022.07 | — | 73.7 | 3.2 | — | — | |
| UncertaintyBudget=10%2025.12 | — | 14.8 | — | — | — | |
| UncertaintyBudget=30%2025.12 | — | 21.5 | — | — | — | |
| UncertaintyBudget=50%2025.12 | — | 25.6 | — | — | — |