Single Source Domain Generalization On Digits
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
模型名称 | Accuracy |
---|---|
center-aware-adversarial-augmentation-for | 80.56 |
learning-to-diversify-for-single-domain | 74.46 |
crafting-distribution-shifts-for-validation | 82.61 |
adversarial-bayesian-augmentation-for-single | 76.72 |
meta-causal-learning-for-single-domain | 78.82 |
meta-convolutional-neural-networks-for-single | 78.76 |
progressive-random-convolutions-for-single | 81.35 |