IAFN+ENT

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

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

Methodology2 results

Domain AdaptationonOffice-31
Average Accuracy· 2018-11-19
87.1
best: 96 (FFTAT)
SOTA
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation arXiv:1811.07456
Domain AdaptationonImageCLEF-DA
Accuracy· 2018-11-19
88.9
best: 94.3 (CMKD)
SOTA
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation arXiv:1811.07456