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Models/DecAug (Resnet-18)

DecAug (Resnet-18)

Reported on 6 benchmarks across 2 tasks · 2 papers · 4 SOTA

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

Methodology4 results

Domain AdaptationonNICO Vehicle
Accuracy· 2020-12-17
80.12
best: 81.59 (NAS-OoD)
SOTA
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation arXiv:2012.09382
Domain AdaptationonNICO Animal
Accuracy· 2020-12-17
85.23
best: 88.72 (NAS-OoD)
SOTA
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation arXiv:2012.09382
Domain AdaptationonPACS
Average Accuracy· 2020-12-17
82.39
best: 99 (SIMPLE+)
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation arXiv:2012.09382
Domain AdaptationonPACS
Average Accuracy· 2020-10-02
82.4
best: 99 (SIMPLE+)
DecAug: Augmenting HOI Detection via Decomposition arXiv:2010.01007

Computer Vision4 results

Domain GeneralizationonNICO Vehicle
Accuracy· 2020-12-17
80.12
best: 81.59 (NAS-OoD)
SOTA
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation arXiv:2012.09382
Domain GeneralizationonNICO Animal
Accuracy· 2020-12-17
85.23
best: 88.72 (NAS-OoD)
SOTA
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation arXiv:2012.09382
Domain GeneralizationonPACS
Average Accuracy· 2020-12-17
82.39
best: 99 (SIMPLE+)
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation arXiv:2012.09382
Domain GeneralizationonPACS
Average Accuracy· 2020-10-02
82.4
best: 99 (SIMPLE+)
DecAug: Augmenting HOI Detection via Decomposition arXiv:2010.01007