QT-DoG (ResNet-50)

Reported on 4 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.

Methodology2 results

Domain AdaptationonPACS
Average Accuracy· 2024-10-08
87.89
best: 99 (SIMPLE+)
QT-DoG: Quantization-aware Training for Domain Generalization arXiv:2410.06020
Domain AdaptationonTerraIncognita
Average Accuracy· 2024-10-08
50.8
best: 69.6 (UniDG + CORAL + ConvNeXt-B)
QT-DoG: Quantization-aware Training for Domain Generalization arXiv:2410.06020

Computer Vision2 results

Domain GeneralizationonPACS
Average Accuracy· 2024-10-08
87.89
best: 99 (SIMPLE+)
QT-DoG: Quantization-aware Training for Domain Generalization arXiv:2410.06020
Domain GeneralizationonTerraIncognita
Average Accuracy· 2024-10-08
50.8
best: 69.6 (UniDG + CORAL + ConvNeXt-B)
QT-DoG: Quantization-aware Training for Domain Generalization arXiv:2410.06020