Discrete Adversarial Distillation (ResNet-50)

Reported on 2 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology1 result

Domain AdaptationonImageNet-A
Top-1 accuracy %· 2023-11-02
7.7
best: 94.17 (Model soups (BASIC-L))
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models arXiv:2311.01441

Computer Vision1 result

Domain GeneralizationonImageNet-A
Top-1 accuracy %· 2023-11-02
7.7
best: 94.17 (Model soups (BASIC-L))
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models arXiv:2311.01441