Domain-Adversarial Training of Neural Networks

Benchmark Model Rank Results
domain-adaptation-on-mnist-to-mnist-mDANN [ganin2016domain]#4Accuracy: 77.4
domain-adaptation-on-svnh-to-mnistDANN [ganin2016domain]#9Accuracy: 70.7
sentiment-analysis-on-multi-domain-sentimentDANN#6DVD: 75.4Books: 71.43Electronics: 77.67Kitchen: 80.53
synthetic-to-real-translation-on-syn2real-cDANN#4Accuracy: 57.4
unsupervised-domain-adaptation-on-epicDANN#2Average Accuracy: 39.2
unsupervised-domain-adaptation-on-hmdb-ucfDANN#3Accuracy: 88.09
unsupervised-domain-adaptation-on-jester-1DANN#2Accuracy: 55.4
unsupervised-domain-adaptation-on-office-homeDANN [cite:JMLR16RevGrad]#11Accuracy: 76.8
unsupervised-domain-adaptation-on-ucf-hmdbDANN#2Accuracy: 80.83