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Models/ADDA

ADDA

Reported on 8 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.

Methodology4 results

Domain AdaptationonHMDB-UCF
Accuracy· 2017-02-17
88.44
best: 98.95 (TranSVAE)
SOTA
Adversarial Discriminative Domain Adaptation arXiv:1702.05464
Domain AdaptationonEPIC-KITCHENS-100
Average Accuracy· 2017-02-17
37.4
best: 52.6 (TranSVAE)
Adversarial Discriminative Domain Adaptation arXiv:1702.05464
Domain AdaptationonUCF-HMDB
Accuracy· 2017-02-17
79.17
best: 87.78 (TranSVAE)
Adversarial Discriminative Domain Adaptation arXiv:1702.05464
Domain AdaptationonJester (Gesture Recognition)
Accuracy· 2017-02-17
52.3
best: 66.1 (TranSVAE)
Adversarial Discriminative Domain Adaptation arXiv:1702.05464

Other4 results

Unsupervised Domain AdaptationonHMDB-UCF
Accuracy· 2017-02-17
88.44
best: 98.95 (TranSVAE)
SOTA
Adversarial Discriminative Domain Adaptation arXiv:1702.05464
Unsupervised Domain AdaptationonEPIC-KITCHENS-100
Average Accuracy· 2017-02-17
37.4
best: 52.6 (TranSVAE)
Adversarial Discriminative Domain Adaptation arXiv:1702.05464
Unsupervised Domain AdaptationonUCF-HMDB
Accuracy· 2017-02-17
79.17
best: 87.78 (TranSVAE)
Adversarial Discriminative Domain Adaptation arXiv:1702.05464
Unsupervised Domain AdaptationonJester (Gesture Recognition)
Accuracy· 2017-02-17
52.3
best: 66.1 (TranSVAE)
Adversarial Discriminative Domain Adaptation arXiv:1702.05464