Image Classification on Caltech101 (PGD-l_inf attack, ε=4/255, test)
80.73Robust AccCore-tuning
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Core-tuningBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l∞, Epsilon=4/2552021.02 | 80.73 | 91.64 | |
| AT-CE-ConBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l∞, Epsilon=4/2552021.02 | 79.87 | 91.08 | |
| AT-CEBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l∞, Epsilon=4/2552021.02 | 78.61 | 90.65 | |
| CEBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l∞, Epsilon=4/2552021.02 | 27.03 | 91.87 |