EfficientNet-L2 Noisy Student + RPL

Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Methodology1 result

Domain AdaptationonImageNet-R
Top 1 Error· uses extra data· 2021-04-27
17.4
best: 4.54 (Model soups (ViT-G/14))
SOTA
If your data distribution shifts, use self-learning arXiv:2104.12928

Other1 result

Unsupervised Domain AdaptationonImageNet-R
Top 1 Error· uses extra data· 2021-04-27
17.4
best: 4.54 (Model soups (ViT-G/14))
SOTA
If your data distribution shifts, use self-learning arXiv:2104.12928