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Models/DANN

DANN

Reported on 21 benchmarks across 9 tasks · 3 papers · 17 SOTA

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

Methodology5 results

Domain AdaptationonEPIC-KITCHENS-100
Average Accuracy· 2015-05-28
39.2
best: 52.6 (TranSVAE)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Domain AdaptationonUCF-HMDB
Accuracy· 2015-05-28
80.83
best: 87.78 (TranSVAE)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Domain AdaptationonJester (Gesture Recognition)
Accuracy· 2015-05-28
55.4
best: 66.1 (TranSVAE)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Domain AdaptationonHMDB-UCF
Accuracy· 2015-05-28
88.09
best: 98.95 (TranSVAE)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Domain AdaptationonOffice-Home (RS-UT imbalance)
Average Per-Class Accuracy· 2020-06-09
56.91
best: 61.67 (Implicit Alignment (with MDD))
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation arXiv:2006.04996

Natural Language Processing5 results

Sentiment AnalysisonMulti-Domain Sentiment Dataset
Average· 2015-05-28
76.26
best: 91.74 (UDALM: Unsupervised Domain Adaptation through Language Modeling)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Sentiment AnalysisonMulti-Domain Sentiment Dataset
Books· 2015-05-28
71.43
best: 90.63 (UDALM: Unsupervised Domain Adaptation through Language Modeling)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Sentiment AnalysisonMulti-Domain Sentiment Dataset
DVD· 2015-05-28
75.4
best: 89.78 (UDALM: Unsupervised Domain Adaptation through Language Modeling)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Sentiment AnalysisonMulti-Domain Sentiment Dataset
Electronics· 2015-05-28
77.67
best: 8506 (Distributional Correspondence Indexing)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Sentiment AnalysisonMulti-Domain Sentiment Dataset
Kitchen· 2015-05-28
80.53
best: 93.77 (UDALM: Unsupervised Domain Adaptation through Language Modeling)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818

Other5 results

Unsupervised Domain AdaptationonEPIC-KITCHENS-100
Average Accuracy· 2015-05-28
39.2
best: 52.6 (TranSVAE)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Unsupervised Domain AdaptationonUCF-HMDB
Accuracy· 2015-05-28
80.83
best: 87.78 (TranSVAE)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Unsupervised Domain AdaptationonJester (Gesture Recognition)
Accuracy· 2015-05-28
55.4
best: 66.1 (TranSVAE)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Unsupervised Domain AdaptationonHMDB-UCF
Accuracy· 2015-05-28
88.09
best: 98.95 (TranSVAE)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Unsupervised Domain AdaptationonOffice-Home (RS-UT imbalance)
Average Per-Class Accuracy· 2020-06-09
56.91
best: 61.67 (Implicit Alignment (with MDD))
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation arXiv:2006.04996

Computer Vision2 results

Image-to-Image TranslationonSyn2Real-C
Accuracy· 2015-05-28
57.4
best: 79.8 (DADA)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818
Multimodal Emotion RecognitiononIEMOCAP-4
Accuracy
82.7
best: 86.53 (GraphSmile)

Time Series1 result

Fault DiagnosisonDigital twin-supported deep learning for fault diagnosis
Accuray· 2025-05-27
80.22
SOTA
A domain adaptation neural network for digital twin-supported fault diagnosis arXiv:2505.21046

Medical1 result

Image GenerationonSyn2Real-C
Accuracy· 2015-05-28
57.4
best: 79.8 (DADA)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818

Miscellaneous1 result

1 Image, 2*2 StitchingonSyn2Real-C
Accuracy· 2015-05-28
57.4
best: 79.8 (DADA)
SOTA
Domain-Adversarial Training of Neural Networks arXiv:1505.07818

Audio1 result

Emotion RecognitiononIEMOCAP-4
Accuracy
82.7
best: 86.53 (GraphSmile)